Data is one of the most crucial assets for any organization. From healthcare to financial firms, every industry has begun to recognize the need for data-driven business operations. As such, the demand for highly skilled data scientists is on the rise. With the increase in competition between organizations, companies are ready to pay handsome salaries for the field’s best talents. If you are looking for the top data science companies to work for, here are some of the best ones out there.
List of Data Science Jobs in Tamil Nadu
Sl No | Name of the Company | Location / Address | Designation | Requirements |
1
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Roche
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Chennai, Tamil Nadu
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Data Scientist
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* Overall experience of 2-5 Years, with experience in the data science / ML space is a must |
* Some experience in the following quantitative fields: Deep learning, Reinforcement Learning, Causal Inference, A/B Testing, Multi-armed Bandits, and Design of Experiments | ||||
* Demonstrated proficiency in leveraging open source libraries and packages such as Spark, TensorFlow, Keras, PyTorch to solve Enterprise problems | ||||
* Deep proficiency in modeling techniques such as content based filtering, collaborative filtering, clustering etc | ||||
* Good to have knowledge in Deep Learning (open source frameworks like Tensorflow, Keras and/or PyTorch) with applications focused on Recommendation Engines (such as feed forward neural networks, convolutional neural networks, or recurrent neural networks)
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* Experience working with large, complex data using Hadoop or Spark or any other big data platforms | ||||
* Good to have strong knowledge of secondary data sources including syndicated sales, promotional & marketing data, longitudinal patient level data; payer data (IQVIA – XPONENT/DDD/HCOS/LAAD/CLAIMS, SHA / SHS/ Truven Rx, Mx, Dx Claims, MMIT, DRG)
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* Proficiency using ML in a variety of contexts, particularly text classification and clustering * Experience with data visualization tools such as tableau, and/or Qlik is nice to have | ||||
* General experience in ML software engineering, especially – # proficiency with R or Python a must and experience with PySpark will be an added advantage | ||||
# experience with Git, Gitlab is nice to have # understanding of software testing (unit tests, integration tests, smoke tests) | ||||
# good software engineering practices, design patterns #bash/shell scripting is nice to have # experience with cloud platforms (preferred AWS) | ||||
* Demonstrated ability to solve problems and think outside the box *Good in time-management, project management, and teamwork; Strong attention to detail | ||||
* Experience translating research or analysis to communicate (in presentations and in writing) concise and compelling business stories that influence decisions and strategy | ||||
* UG: B.Tech/B.E. – Any Specialization (Computer Science preferred) * Master’s Degree – Data Science, Machine Learning, Statistics, Economics/Econometrics, Computer Science or related field- Nice to have | ||||
* Any certifications on AI/ML/Data science would be an added advantage | ||||
2
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Accolite Digital
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Chennai, Tamil Nadu
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Data Scientist
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* Having meetings with team members regarding projects. * Collecting and interpreting data. |
* Automating and integrating processes. * Researching solutions to overcome data analytics challenges. | ||||
* Developing complex mathematical models that integrate business rules and requirements. * Creating machine learning models. | ||||
* Communicating and meeting with engineers, IT teams, and other interested parties. | ||||
* Sharing complex ideas verbally and visually in an understandable manner with non-technical stakeholders. | ||||
* Experience in technologies like Python, Jupyter, Machine Learning Algorithms, SQL, Data Visualization, Statistical or Mathematical software | ||||
3
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Shell
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Chennai, Tamil Nadu
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* Works within a variety of well-defined and standard R&D techniques, procedures, and practices. | |
* Works under general guidance and work instructions (work is being checked by manager or senior colleagues), which requires the job holder to apply a combination of applied and theoretical knowledge within a well-defined scope.
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* Has knowledge about a specific discipline and may coach less experienced colleagues, but not yet regarded as an internal or external expert. | ||||
* Supports the Data Analytics team in the design and execution of analytics projects. | ||||
* Works with data and technology experts to help execute analytics projects and deploy solutions. | ||||
* Develops optimal analytical models that address the business requirement, with acceptable levels of accuracy. | ||||
* Writes efficient code that incorporates best practices in that technology. | ||||
* Supports the design and delivery of analytics projects, within or cutting across different business units in Shell. | ||||
4
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Luxoft India
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Data Scientist
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* gather and validate business rules and assumptions * pipelines to ingest such documents/data/videos * digitize scanned documents using OCR | |
* use advanced NLP and/or NLU techniques to extract insights from documents. * develop predictive models that help annotate issues of interest in these documents/and identify speakers audio files | ||||
* support the business in creating training data for such predictive models * develop applications that allow users to consume the output of such models and analysis | ||||
* rapidly prototype new solutions, perform testing, measure effectiveness versus evaluation metrics, and deploy them into production in a cloud-based environment | ||||
* document and share code/scripts produced with the ITS Data Science team as required * Collaborate with team across ITS as required | ||||
*Deep expertise in NLP, ML, deep learning. * Good at researching ideas and formulating creative solutions to sophisticated problems. | ||||
* Minimum of 3 years prior experience working in teams of data science, data analytics professionals to deliver on business-driven analytics projects using natural language processing, machine learning on unstructured data, and/or information retrieval.
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* Hands-on experience coding machine learning systems in Python/R/Scala with common libraries like Tensorflow, sklearn, PyTorch. | ||||
* Intimately familiar with leveraging and deploying solutions in a cloud-based environment (Azure,AWS). Passionate for production-ready high-quality software. | ||||
* Ability to communicate sophisticated ideas to broad audiences. | ||||
* Bachelors in Computer Science, Engineering, Mathematics, Statistics or other technical field. | ||||
5
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Mindtree
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Chennai, Tamil Nadu
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Data Scientist
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* Predictive Analytics Vision Analytics – 10 years of professional experience in data science, statistical modeling, data engineering, and predictive analytics. |
* Strong proficiency in Python, Spark, Hive, SQL. – Enterprise Scale p rojects using Python libraries (Machine Learning and Deep Learning)or frameworks including Scikit-learn, Pandas, TensorFlow, PyTorch, etc. | ||||
* Experience in building analytics projects from inception to delivery, including developing structured solutio ns | ||||
* Experience building large scalable, and reliable enterprise technology platforms using Big Data open-source technologies. -Experience in deploying models to production. | ||||
* Advanced knowledge of mathematics and statistics and data visualization too ls. | ||||
* Experience in one or more of the AI and Machine Learnings frameworks such as TensorFlow, MxNet, Pytorch, Caffe, OpenCV | ||||
* Expertise in Four or more of the packages Scikit-learn, Pandas, PyTorch, PySpark, Keras, TensorFlow, TensorLite | ||||
* Experience in Image Processing, Feature Pattern Extraction – nice to have: Experience in ETL and Complex Event Processing. | ||||
* Mandatory Skills “Predictive analytics with Python and Machine learning with tensorflow and opencv”. |
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6
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VEGA Intellisoft Pvt Ltd
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Chennai, Tamil Nadu
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Data Scientist
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* Qualification: B.E, B.Tech, M.E, M.Tech |
* Require Skills: Python, Flask, R, SQL, Machine Learning, Statistical Methods | ||||
* Design, develop, test, validate, and deploy Predictive Analytics | ||||
* Machine Learning (ML) /Statistical models as part of new product development | ||||
* Proficient in advanced mathematical techniques (correlation, regression, time series analysis, analysis of variance, etc.) to forecast outcomes | ||||
* Experience in machine learning methods (e.g., cluster analysis, decision trees, random forest, neural networks, logistics regression) to model and predict research outcomes | ||||
* Excellent communication skills, both written and verbal, and especially the ability to communicate data clearly to clients | ||||
7
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Flex
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Chennai, Tamil Nadu
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Data Scientist
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* Bachelor’s Degree or Engineering Graduates. |
* 1 to 7 years of Overall experience in IT or Supply Chain Industry. | ||||
* 3+years in Advance Analytics (R; Python; SQL; Statistical Analysis; Data Modelling) | ||||
* Industrial Experience in Supply Chain or Procurement is preferable | ||||
* Proficiency in the Microsoft Office Suite & SQL | ||||
8
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Ganit Inc
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Chennai, Tamil Nadu
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Data Scientist
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* At least 3 years of experience in designing and delivery of data science solutions |
* A portfolio flaunting a host of successful Retail/BFSI/FMCG/Manufacturing/QSR projects | ||||
* A deep understanding of various statistical techniques, mathematical models and algorithms to kickstart the conversation with data in hand. | ||||
* An ability to choose the right model for the data and translate it seamlessly into code through R, Python, VBA, SQL, etc. | ||||
* One of these 3 – Bachelors/Masters’ degree in Engineering/Technology, an MBA or an MSc. in Maths/Statistics | ||||
9
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Ciber Global
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Chennai, Tamil Nadu
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Data Scientist
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* Minimum of 3 years prior experience working in teams of data & analytics professionals to deliver on business-driven analytics projects using natural language processing, machine learning on unstructured data |
* Master’s degree from an accredited college/university in Computer Science, Data Science, Data Analytics, Engineering, or related fields. | ||||
* Understand data preparation, machine learning, deep learning, natural language processing, ability to discuss mathematical formulations, alternatives, and impact on modeling approaches. | ||||
* In-depth understanding of Text Analytics & Natural Language Processing concepts such us Lemmatization, Word segmentation, Part-of-speech. Tagging, Stemming, Named-Entity Recognition, word2Vec, Doc2Vec, etc.
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* Knowledge and work experience in taxonomy management. * Ability to quickly use and implement the latest NLP research and approaches. | ||||
* Advanced expertise in the use of Python and specialized machine learning libraries/packages for implementing machine learning models. | ||||
* Proficient in Python data analysis and ML libraries like Panda, NumPy, Scikit-learn. | ||||
* At least 3 years experience using one or more of the following deep learning frameworks: Pytorch, TensorFlow, Keras, MLFlow, etc. | ||||
* Knowledge and work experience in one or more of the standard NLP tools like Google BERT, RoBERTa, SpaCy, NLTK, Gensim, Stanford Core NLP, etc. | ||||
* Proficient with parallel processing APIs such as Apache Spark and PySpark * Knowledge and work experience in Named-Entity Recognition | ||||
* Work experience in gaps and anomalies detection in unstructured data * Demonstration of data engineering skills (Python scripting, data scraping & crawling, SQL complex queries), a plus. | ||||
10
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e-con Systems
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Chennai, Tamil Nadu,
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Machine Learning Engg.
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* Drive the end-to-end problem solving for a people tracking ML product. |
* Design novel and breakthrough ML technology to fully solve ambiguous problems for real-world environment. | ||||
* Work with data acquisition, ML infrastructure and data serving team to propose solutions for new problems and design system in a way that can be successfully deployed at customer premises | ||||
* Understand the limitations of ML applications performance on embedded platforms. | ||||
* Work closely with development and QA teams in transitioning prototypes to commercial products. | ||||
* Minimum Qualifications B.E/M.E/PhD in Computer Science, or equivalent field. | ||||
* algorithms , c lucene , sql , java , image processing , python , c , mobile , problem solving , machine learning , infrastructure , opencv | ||||
11
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SrinSoft Technology
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Chennai, Tamil Nadu
|
Data Scientist
|
* Bachelor’s Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, Applied Statistics, Econometrics, Operations Research etc.) Pre-Requisites |
* Experience in building predictive algorithms * Excellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc. | ||||
* Understanding of high-performance ML algorithms (SVM’s, gradient boosted decision trees, deep neural networks, etc.) and with toolkits/frameworks from R or Python, | ||||
* Excellent at visualizing data * Excellent product instincts * Experience in building models that have been deployed to production (e.g. in marketing, demand forecasting, or supply chain) | ||||
* Experience using big data batch and streaming tools (Spark, AWS tools, Hadoop) * Ability to communicate findings clearly | ||||
* Fluency with R or Python for statistical modeling and machine learning * Proficiency with a query language such as SQL | ||||
* Experience with data visualization tools (Tableau, Power BI, etc.) * Expert in Microsoft Excel * Curiosity and ability to be objective * Strong organizational skills including time and project management | ||||
* Thrives in a fast-paced environment that is constantly changing * Experience in building predictive algorithms | ||||
* Excellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc. | ||||
* Understanding of high-performance ML algorithms (SVM’s, gradient boosted decision trees, deep neural networks, etc.) and with toolkits/frameworks from R or Python, | ||||
12
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DataFoundry
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Coimbatore, Tamil Nadu
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Machine Learning Engineering
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* Develop Machine Learning (ML) models using various neural network architectures and implement the model using Python. |
* Understand the problem by interacting with domain experts and design/implement various training algorithms and feature detectors. | ||||
* Train models using various datasets and optimize the inference architecture for performance. * Build dockized microservices based architecture to ensure scalability. | ||||
* Continuously work to improve the Recall accuracy and precision (mAP) metrics for ML models * Experience developing and consuming REST APIs. | ||||
* Design and implement event driven pipelines using Kafka, Python, Keras, Pytorch and Tensorflow. * Perform data clean-up and guide the labelling team to create labelled datasets. | ||||
* Debug, build, test and release complete software products under SaaS model. * Work with data scientists to implement inference graphs, infographics and automated report/alert generation. | ||||
* Proven experience as a software developer with knowledge about software development lifecycle (SDLC), from design to implementation. | ||||
* Experience with deep learning frameworks (e.g., Tensorflow, etc) and software stack (e.g., TensorRT, TVM, etc) *Experience with ML accelerators and hardware architecture, e.g., GPUs, TPUs, NNAs, MLAs. | ||||
* Experience with modern parallel programming: GPU programming (CUDA, OpenCL), SIMD (avx, neon/SVE), multi-process and multi-threaded designs. | ||||
* Familiarity with HW vendors’ deep learning stacks (e.g., cuDNN, cuBLAS, AMD MIOpen, TensorRT, OpenVino, ARM Compute Library, etc). | ||||
* Experience with model optimization techniques like pruning, quantization, NAS, etc. * Experience with real-time scheduling frameworks | ||||
* Experience with open-source deep learning stacks (TVM, XLA, etc) * Knowledge of back-end scripting languages (e.g. Python, PHP, Node.js) and Java. | ||||
* Familiarity with databases (e.g. MySQL, MongoDB, Cassandra), web servers (e.g. Apache, NGINX), UI/UX design. | ||||
* Experience with version control systems such as GitHub, BitBucket and build tools such as Jira/Jenkins * Exposure to developing video streaming and file formats is a plus. | ||||
* Exposure to networking stacksis a a plus. * Exposure to mobile app development including Android/iOS. | ||||
13
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LatentView
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Chennai, Tamil Nadu
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Analyst -Data Science
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* Understand concepts in analytics, especially design of Experiments & attribution * Data science and hands on with building models · * Strong with SQL, Advanced Excel · |
* Create analytical reporting to enable data driven business decisions · Support forecasting, classification and regression efforts of all business functions in banking(good to have) · | ||||
* The ability to mine data from large datasets (think millions of rows of data) across various platforms/data sources, glean insights from this data and present the most important insights in a succinct manner | ||||
* Overall 0-2 years of experience · * Demonstrate our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. · | ||||
* Previous experience in data science and analytics · * Understanding of statistical concepts and experience in applying them. | ||||
* Experience in data analyses using SQL. · * Experience in R/Python · Bachelor’s/Masters in Maths, Statistics, Engineering, Computer Science or equivalent practical experience | ||||
14
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Wonder Worth Solutions Pvt Ltd
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Vellore, Tamil Nadu
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MACHINE LEARNING ENGINEERS
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* A bachelor/Master degree in IT, computer science, or advanced related field is preferred. * At least 3+ years of experience working with ML libraries and packages. |
* Familiarity in coding and programming languages, including Python, Java, C++,SAS * Strong experience in programming and statistics. | ||||
* Well versed in Data Science and neural schematics in networking and software. * Flexibility in shifts is appreciated. | ||||
* Salary: Up to ₹45,000.00 per month | ||||
15
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Intellect Design Arena Limited
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Chennai, Tamil Nadu
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Data Scientist
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* Work as part of a distributed team to research, build and deploy Machine Learning models for NLP. * Mentor and coach other team members |
* Evaluate the performance of NLP models and ideate on how they can be improved * Support internal and external NLP-facing APIs | ||||
* Keep up to date on current research around NLP, Machine Learning and Deep Learning | ||||
*Any graduation with at least 2 years of demonstrated experience as a Data Scientist | ||||
* Strong analytical and problem-solving capabilities. * Proven ability to multi-task and deliver results within tight time frames * Must have strong verbal and written communication skills | ||||
* Strong listening skills and eagerness to learn * Strong attention to detail and the ability to work efficiently in a team as well as individually | ||||
* Hands-on experience with – NLP , Deep Learning, Machine Learning | ||||
16
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Comcast
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Chennai, Tamil Nadu
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Machine Learning
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* Implements, refines and validates machine learning algorithms for products and applications. |
* Takes action on existing specifications of designs and develops data pipelines consisting of data ingest, data validation, data cleaning and data monitoring | ||||
* Trains machine learning models, validates the accuracy of the machine learning models once trained and deploys validated machine learning models into production. | ||||
* Researches, writes and edits documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports. Contributes to the company by creating patents, Application Programming Interfaces (APIs) and other intellectual property.
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* Tests and evaluates solutions presented to the Company by various internal and external partners and vendors. Completes case studies, testing and reporting. | ||||
* Designs proof of concept solutions and contributes to studies to support future product or application development. | ||||
* Collaborates with teams outside of immediate work group. Represents the work team in providing solutions to technical issues associated with assigned projects | ||||
* Provides guidance and leadership to more junior engineers. | ||||
* Consistent exercise of independent judgment and discretion in matters of significance. | ||||
* Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) and overtime as necessary. | ||||
* Bachelor’s Degree | ||||
17
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Spritle Software
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Chennai, Tamil Nadu
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Machine learning Developer
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* Interaction with clients to capture the initial level of requirements and document the requirements as per the solution. |
* Liaising between technology teams, support teams, and business units. | ||||
* Frequent communication with clients on status updates & work progress. * Skills of business analytics developing technical solutions. | ||||
* Evaluating business processes, anticipating requirements, uncovering areas for improvement, and developing and implementing solutions. | ||||
* Preparing process flows, wireframes mockups. Gap Analysis. Attention to detail. * Leading ongoing reviews of business processes and developing optimization strategies. | ||||
* Staying up-to-date on the latest process and IT advancements to automate and modernize systems. * Conducting meetings and presentations to share ideas and findings | ||||
* Performing requirements analysis. * Documenting and communicating the results of your efforts. | ||||
* Effectively communicate your insights and plans to cross-functional team members and management. * Gathering critical information from meetings with various stakeholders and producing useful reports. | ||||
* Working closely with clients, technicians, and managerial staff. * Ensuring solutions meet business needs and requirements. * Performing user acceptance testing. | ||||
* Managing projects, developing project plans, and monitoring performance. * Updating, implementing and maintaining procedures. * Prioritizing initiatives based on business needs and requirements. | ||||
* Serving as a liaison between stakeholders and users. * Managing competing resources and priorities. * Monitoring deliverables and ensuring timely completion of projects. | ||||
* A bachelor’s degree in business or related field or an MBA. * Good analytical and conceptual thinking skills * Fundamental analytical and conceptual thinking skills. | ||||
* The ability to influence stakeholders and work closely with them to determine acceptable solutions. Good technical skills. * Excellent documentation skills. | ||||
* Experience creating detailed reports and giving presentations. * Competency in Microsoft applications including Word, Excel, and Outlook. | ||||
* Excellent planning, organizational, and time management skills. * Experience leading and developing top-performing teams. * A history of leading and supporting successful projects. | ||||
18
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CogniveAI Innovations
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Chennai, Tamil Nadu
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Machine Learning Engineer
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* Industry/academic experience with machine learning and computer vision programming using libraries such as PyTorch, TensorFlow, OpenCV, Caffe, etc. * Proficient in Python and MATLAB. |
* Strong project experience involving algorithm development for computer vision applications. * Demonstrated past algorithm development in at least one area within machine learning like neural networks, clustering, object tracking.
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* Experience with object detection, object classification, gesture recognition or human pose estimation and training deep neural networks using synthetic and artificial data. | ||||
* Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods and linear algebra. | ||||
* Self-motivated individual with passion towards state-of-the-art computer vision technologies. * Clear communication skills (English) | ||||
* Masters/ Engineering Degree with strong programming and scripting skills | ||||
19
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Sutherland
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India Remote
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Data Scientists
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* Experience in concepts like Regression, logistic regression, Decision Trees, , Random forest, Boosting, Support Vector Machines(SVM), KNN, Time Series Forecasting, Clustering |
* Excellent knowledge of one or more statistical programming language, preferably Python | ||||
* Strong hands on expertise in SQL and Excel | ||||
* Knowledge to run BI tools (like Power BI, Tableau, etc.) | ||||
20
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Crayon Data
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Chennai
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Data Scientist
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* 3+ years of hands-on experience with Machine Learning and/or Natural Language Processing |
* B.E/B.Tech/MS in Machine Learning, Computer Science, Applied Statistics, Mathematics or related field. PhD is a plus | ||||
* Strong coding experience in Python & SQL or any other equivalent language | ||||
* Experience with Spark or Hadoop and database schema design for ML pipelines a must | ||||
* Track record of innovation and having taken large machine learning-based products and features from conception to successfully delivering value to customers in production | ||||
* Contribution to open-source ML packages/research publications will be a huge bonus | ||||
* Develop ML and deep learning models to innovate on the Knowledge Graph and recommender systems | ||||
* Collaborate with technical and non-technical business partners to develop analytics and metrics for the business requirements | ||||
* Work with PMs/Business Heads to break down business problems and come up with interesting solutions | ||||
* Ability to apply industry standard algorithms backed with metrics and suggest appropriate infrastructure specific to business use-case | ||||
* Research and develop analysis, forecasting, and optimization methods to improve the quality of Crayons’ customer facing products. | ||||
21
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André Global Inc.
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Chennai, Tamil Nadu,
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Data Scientist
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* Hands-on with Databricks, Python, PySpark, Spark, Tensorflow or Pytorch |
* Have worked on Machine Learning, Deep Learning/ Neural Networks, NLP | ||||
* Should have exposure with Cloud/AWS | ||||
* Bachelors/Masters (M.Tech/ MS) in Computer Science/ Machine Learning/ Deep Learning/ Mathematics/ Big Data Analytics with 2 to 5 years of experience | ||||
22
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Fragma Data Systems
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Chennai, Tamil Nadu
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Data Scientist
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* Python coding skills * Scikit-learn, pandas, tensorflow/keras experience * Machine learning: designing ml models and explaining them for regression, classification, dimensionality reduction, anomaly detection etc
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* Implementing Machine learning models and pushing it to production * Creating docker images for ML models, REST API creation in Python | ||||
* Additional Skills Compulsory: Knowledge and professional experience of text and NLP related projects such as – text classification, text summarization, topic modeling etc* | ||||
* Data scientist with Computer vision for documents experience | ||||
* Knowledge and professional experience of vision and deep learning for documents – CNNs, Deep neural networks using tensorflow for Keras for object detection, OCR implementation, document extraction etc
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* Skills:- Data Science, R Programming, Python and Natural Language Processing (NLP) | ||||
23
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kaleidofin Pvt. Ltd
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Chennai, Tamil Nadu
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Data Scientist
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* Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line. |
* Good understanding of the underlying business and workings of cross functional teams for successful execution * Design and develop analyses based on business requirement needs and challenges. | ||||
* Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering,factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
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* Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required. | ||||
* Identify and use appropriate investigative and analytical technologies to interpret and verify results. * Apply and learn a wide variety of tools and languages to achieve results | ||||
* Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs. * Innovate on projects by using new modeling techniques or tools. | ||||
* Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling. | ||||
* Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept. | ||||
* Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes. | ||||
* 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms. * Machine Learning Algorithms | ||||
* Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools | ||||
* Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis. | ||||
* Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts. | ||||
* Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE) | ||||
* Skills:- Data Science, R Programming and Python | ||||
24
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ilife technologies
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Tiruchchirappalli, Tamil Nadu
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Python Developer – ML Engineer
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* 1-5 years of experience as a Python developer |
* Designing, developing, and researching Machine Learning systems, models, and schemes * Studying, transforming, and converting data science prototypes | ||||
* Searching and selecting appropriate data sets before performing data collection and data modeling * Performing statistical analysis and using results to improve models | ||||
* Training and retraining ML systems and models as needed * Identifying differences in data distribution that could affect model performance in real-world situations | ||||
* Visualizing data for deeper insights * Analyzing the use cases of ML algorithms and ranking them by their success probability | ||||
* Understanding when your findings can be applied to business decisions * Enriching existing ML frameworks and libraries * Verifying data quality and/or ensuring it via data cleaning | ||||
* Salary: ₹8,000.00 – ₹20,000.00 per month * Bachelor’s (Preferred) | ||||
25
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Macro Global (MG)
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Tiruchchirappalli, Tamil Nadu
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AI/ML Developer
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* Skillset: TensorFlow, PyTorch, Spark ML, Keras, Tesseract |
* NET Framework and C#. * ML.NET or Python. * Experience in Machine learning algorithms ( TensorFlow , PyTorch , Spark ML, Keras , Tesseract ) | ||||
* Image processing using AI and ML. * Video processing using AI and ML. * Voice Processing using AI and ML. * Data analytics processing using AI and ML. | ||||
* Big Data eco-system tools like Hadoop, Hive, SQOOP, MySQL, Pyspark, MongoDB. * Experience in developing and deploying on cloud (MS Azure or AWS or Google). | ||||
26
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Diverse Lynx
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Chennai, Tamil Nadu
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Data Scientist
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* Identifying and defining new process improvement and or business opportunities. |
* Develop solutions using Machine Learning/Deep Learning and other advanced technologies to solve a variety of problems | ||||
* Implement cutting edge machine learning techniques in NLP , image classification, object detection, semantic segmentation, sequence modeling, etc. using frameworks such as OpenCV, TensorFlow and Pytorch. | ||||
* Translate user stories and business requirements to technical solutions by building quick prototypes or proof of concepts using AI/Client concept. | ||||
* Convert the proof of concepts to production-grade solutions that can scale for hundreds of thousands of users | ||||
* Be hands-on where required and lead from the front in following best practices in development and CI/CD methods | ||||
* Develop tools and libraries that will enable rapid and scalable development in the future | ||||
* Solid understanding of various machine learning and deep learning algorithms (including state of the art techniques and advancements like Bert, Transformer architecture) | ||||
* Well aware of latest advancements in the areas of text analytics and NLP * Good understanding of Transfer Learning concepts in Deep Learning | ||||
* Hands-on Python coding, webservices development and deployment * Good understanding of pre-processing and feature engineering | ||||
* Defining data augmentation strategies * Training models and tuning their hyperparameters * Experience in working and deploying models to different clouds Google, Azure, and AWS | ||||
* Expert in analyzing the errors of the model and designing strategies to overcome them | ||||
27
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KGiSL
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Coimbatore, Tamil Nadu
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Data Analyst
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* Applies scripting/programming skills to assemble various types of source data into well-prepared datasets with multiple levels of granularities |
* Lead the development of standard and customized reporting, dashboards, and analysis of information * Lead the development of tools, methodologies, and statistical | ||||
* Provide hands-on development and support in creating and launching various tools and reporting * Works with various data owners to discover and select available data from internal sources to fulfill analytical needs
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* Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder | ||||
* Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action. | ||||
* Uses the appropriate algorithms to discover * Works independently on a range of complex tasks, which may include unique | ||||
* Minimum 5 years of experience as an analyst * Minimum 5 years of knowledge of business intelligence tools and programming languages | ||||
* Advance skills in data analysis and profiling, data mapping, data modeling, data lakes, and analytics * Data Analytics: AWS Quicksight and Redshift * Data Migration: solid in SQL and ETL | ||||
* Scripting and Integration: REST APIs, GraphQL, Nodejs, AWS Lambda/API Gateway * Experience working with data mining and performing quantitative analysis | ||||
* Experience with Machine Learning algorithms and associated data sets * Business acumen results-oriented * Proactive/takes initiative/self-starter | ||||
* Excellent written and oral communication skills * Ability to create, coordinate and facilitate presentations * Time management, highly organized * Collaboration and Team Engagement | ||||
* Analytical and Problem Solving * Data-driven/Metrics Driven * Skills:- Amazon Web Services (AWS), Amazon Redshift, SQL, ETL and quicksight | ||||
28
|
OPT nation
|
India Remote
|
Data Scientist
|
* Design algorithms to infer key transportation patterns from various data sources * Find and build real-world data sets for training various models and doing quality checks |
* Research and implement suitable strategies (e.g. regression models, neural networks, etc.) for solving data science problems | ||||
* Productize data science algorithms within the StreetLight InSight platform, in collaboration with the Application Engineering team | ||||
* Create visualizations and dashboards to help tell stories with data * Define and implement customized and/or cutting-edge solutions for customers | ||||
* BS/MS in Mathematics, Computer Science or an Engineering discipline from a top university. Alternatively, a PhD focused on quantitative research and discovering insights from data is acceptable in lieu of a BS/MS plus experience.
|
||||
* 0-2 years of experience in data science and/or statistics, using tools such as R or Python | ||||
* 1+ years of experience in SQL and relational databases (PostgreSQL preferred), and good understanding of relational concepts | ||||
* Strong understanding of techniques in data science (machine learning algorithms, regression analysis, etc.) | ||||
* Strong data analysis skills, knowing what can/cannot be possible, and ability to visualize data in the best way possible | ||||
* Good communication skills – written, visual (presentations), and verbal | ||||
* Ability to deliver adequate results on deadline, and make compromises to enable scalability and productization of algorithms | ||||
* Geo-spatial skills are a plus * Knowledge of transportation data / industry is a plus * Quick learner, and a strong team player | ||||
29
|
TVS Next
|
Chennai, Tamil Nadu
|
ML Engg.
|
* Java (important), Python, TensorFlow, Smile, Open NLP. * Experience in text analytics & NLP. |
* Ability to create language models from text data. | ||||
* Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models. | ||||
* Depth in NLP and information extraction, particularly experience in multi-language and business documentation. | ||||
* A solid foundation in data structures, algorithms and software design. | ||||
30
|
ValueLabs
|
India Remote
|
Data Scientist
|
* Selecting features, building and optimizing classifiers using machine learning techniques * Data mining using state-of-the-art methods. |
* Extending company’s data with third party sources of information when needed. * Processing, cleansing, and verifying the integrity of data used for analysis. | ||||
* Doing ad-hoc analysis and presenting results in a clear manner. * Apply machine learning, collaborative filtering, NLP, and deep learning methods to massive data sets. | ||||
* Collaborate with cross-functional agile teams of software engineers, domain experts, and others to build new product features for multiple business units. | ||||
* Collaborate with data scientists across a variety of businesses to prioritize and promote our machine learning efforts. | ||||
* B.S., M.S. or PhD in Computer Science, Software Engineering, Information Science, Mathematics, Statistics, Electrical Engineering, Physics or related fields or equivalent experience. | ||||
* Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. | ||||
* Experience with common data science toolkits, such as R, Scikit-learn, NumPy, Tensorflow. | ||||
* Strong knowledge in POS tagger, shallow and deep parser, feature scaling, dimensionality reduction & data compression techniques, TF-IDF, SVM, Ensemble models (Bagging, Boosting), model tuning using grid-search etc.
|
||||
* Experience with data visualisation tools, such as D3.js, GGplot, etc. * Proficiency in using query languages such as SQL. * Experience with NoSQL databases. | ||||
* Experience with data processing and storage frameworks like Hadoop, Spark, Kafka, etc. | ||||
31
|
Agilite
|
India Remote
|
ML Engg
|
* Implementation / installation of NLP pipelines on hospital sites * Installation of NLP workflows on AWS for US Claims data * Development of NLP pipelines for NER |
* Evaluation of NLP tools for different use cases (huggingface, sparkNLP, 3rd parties) * Evaluation of NLP pipelines performance metrics for: | ||||
* Inclusion criteria auto-upload (from clinicaltrials.gov) * Query text auto-mapping to terminology codes * Various Named Entity Recognition and Entity Normalization pipelines | ||||
* Performance monitoring of NLP pipelines setup * Previous experience with NLP pipelines * Proficient in Python | ||||
* Hands-on experience with data science / machine learning stacks (pandas, numpy, scikit-learn, pytorch, tensorflow, spacy, transformers) * Previous experience with AWS cloud for CI/CD | ||||
* Implementation / installation of platform for advanced statistics and machine learning on hospital sites * Installation of ML workflows on AWS for US Claims data | ||||
* Evaluation of ML pipelines performance metrics * Data normalization * Prediction routines in RWT * Support client projects with ML / deep learning components | ||||
* MLOps setup for performance monitoring of ML pipelines * Previous experience with ML and deep learning pipelines * Proficient in Python | ||||
32
|
Cognizant
|
Chennai, Tamil Nadu
|
Data Scientist
|
* Build algorithms / predictive models to identify trends and recommend actionable insigts * Perform extensive statistical analysis on large datasets |
* Carve out insights from huge datasets using R / Python * Create reports dashboards with Excel / Power BI * Work with Internal stakeholders to understand business requiements | ||||
* Present project outcome using appropriate tools / applications * Collaborate with multiple Functions to gather data * Strong data acumen | ||||
* Good amount of hands-on experience in Machine learning model building * Strong in statistical programming – Python or R * Stong in Excel, Reporting, Dashboarding & Presentation skills | ||||
* Good Communication skills and Stakeholder management * SQL coding knowledge for data wrangling * Exposure to Power BI / Qliksense will be an added advantage | ||||
* Model deployments knowledge in Azure Machine Learning / Google Cloud platform | ||||
* Undergraduate or a Postgraduate degree in Computer Science, Statistics, Applied Math or related field | ||||
33
|
Toyota Connected India
|
Chennai, Tamil Nadu
|
Senior ML Engineer
|
* Develop solutions using Machine Learning/Deep Learning and other advanced technologies to solve a variety of problems |
* Develop deep learning architectures to solve Natural language processing (NLP) related problems. * Develop multi-domain and multi-lingual dialogue systems for task-oriented conversational agents. | ||||
* Translate user stories and business requirements to technical solutions by building quick prototypes or proof of concepts with several business and technical stakeholder groups in both internal and external organizations
|
||||
* Partner with leaders in the area and have insights to select off the shelf components vs building from the scratch * Be hands-on and lead from the front in following best practices in development and CI/CD methods
|
||||
* Convert the proof of concepts to production-grade solutions that can scale for hundreds of thousands of users * Own delivery of features from top to bottom, from concept to code to production | ||||
* Develop tools and libraries that will enable rapid and scalable development in the future * Have experience in MLOps and deployed ML models in a production environment | ||||
* Expertise in a variety of Deep Learning architectures including transformers, RNN/CNN, and Transfer Learning – And delivering value using these in real production environments for real customers | ||||
* You have experience in building AI-powered conversational agents using the likes of Microsoft LUIS, RASA NLU or any other NLP technologies | ||||
* You have experience building multi-domain and multi-lingual dialogue systems for task-oriented conversational agents | ||||
* You have good understanding of Automatic Speech Recognizer, Natural Language Understanding (NLU), Dialog State Tracking, Policy Optimization, Natural Language Generation(NLG) and Text-to-Speech(TTS) | ||||
* You have deep proficiency in Python and at least one other major programming language (C++, Java, Golang, Rust) | ||||
* You are very fluent in one or more ML tools/libraries like Tensorflow, Pytorch, Caffe and have solved several real-life problems using these | ||||
* You have strong experience in deploying solutions to production, with hands-on experience in any public cloud environment (AWS, GCP or Azure) | ||||
34
|
AstraZeneca
|
Chennai, Tamil Nadu
|
Analyst
|
* Quantitative Bachelor’s degree from an accredited college or university is required in one of the following or related fields: Engineering, Operations Research, Management Science, Economics, Statistics, |
Applied Math, Computer Science or Data Science. * Good experience in Pharmaceutical / Biotech / Healthcare analytics or secondary data analysis. | ||||
* Good experience in application of advanced methods and statistical procedures on large and disparate datasets, specifically: | ||||
* Statistical Analysis & Modelling: Design of Experiments, Time Series, Regression, Applied Econometrics and Bayesian methods. * Optimization & Simulation. | ||||
* Data Mining, Predictive Modelling & Machine Learning algorithms.* Good years of recent experience and proficiency with Python, R, SQL and big data technology – Hadoop ecosystem (Cloudera distribution – Impala, Hive, Hbase, Spark, MapReduce etc.,).
|
||||
* Working knowledge of data visualization – MicroStrategy, Tableau, PowerBI, Qlikview, D3js or similar tools. * Experience with IQVIA data sets | ||||
* Experience in MS Office products-Excel and PowerPoint skills required * Proficiency in manipulating and extracting insights from large longitudinal data sources, such as Claims,EMR and other patient level data sets.
|
||||
* Expertise in managing and analyzing a range of large, secondary transactional databases is required. * Statistical analysis and modelling background * ML a plus | ||||
* Experience with data visualization methods and tools * Ability to derive, summarize and communicate insights from analyses * Organization and time management skills | ||||
35
|
Incedo
|
Chennai, Tamil Nadu
|
ML Engg
|
* Experience deploying machine learning models into production environment. * Strong DevOps, Data Engineering and ML background with Cloud platforms |
* Experience in containerization and orchestration (such as Docker, Kubernetes) * Experience with ML training/retraining, Model Registry, ML model performance measurement using ML Ops open source frameworks.
|
||||
* Experience building/operating systems for data extraction, ingestion and processing of large data sets * Experience with MLOps tools such as MLFlow and Kubeflow | ||||
* Experience in Python scripting * Experience with CI/CD * Fluency in Python data tools e.g. Pandas, Dask, or Pyspark * Experience working on large scale, distributed systems | ||||
* Python/Scala for data pipelines * Scala/Java/Python for micro-services and APIs * HDP, Oracle skills & Sql; Spark, Scala, Hive and Oozie DataOps (DevOps, CDC) | ||||
36
|
DAYS Group Of Companies
|
Chennai, Tamil Nadu
|
Work place data Analyst
|
* Database tools: SQL can handle larger sets of data and is widely regarded as a necessity for data analysis. |
* Programming languages: Statistical programming language like Python or R | ||||
* Data visualization: Presenting findings in a clear and compelling way is crucial for stakeholders to understand analysis. Tableau, Jupyter Notebook, and Excel are among the many tools used | ||||
* Power BI | ||||
* Statistics and Maths: A solid grasp of statistics and maths will help you determine which tools are best to use to solve a particular problem, help you catch errors in your data have a better understanding of the results
|
||||
* Problem solving: A good understanding in concept of the workplace question being asked and the problem that needs to be solved. Be able to find patterns | ||||
* Having the critical thinking skills will allow you to focus on the right types of data, recognize the most revealing methods of analysis, and catch gaps in the data and analysis. | ||||
* Communication: Being able to get your ideas across to other people will be crucial to your work. Strong written and speaking skills to communicate with colleagues and other stakeholders. | ||||
* Industry knowledge: Knowing about the real estate and workplace industry will be an advantage. | ||||
* Salary: ₹800,000.00 – ₹1,000,000.00 per year | ||||
37
|
Annular Technologies
|
Chennai, Tamil Nadu
|
Data Analyst
|
* 5+ years of relevant work experience * Strong experience in SQL is required including writing complex queries, sub-queries etc. |
* Must have good experience in Data Analytics * Ability to work independently and with business stakeholders | ||||
* Prior experience in creating reports/analytics related to Subscription and Renewals is a major plus * Prior experience in creating reports from Salesforce * Snowflake data is a major plus | ||||
* Excellent communication (verbal and written) * Strong team player and results-driven. * Salary: ₹550,000.00 – ₹800,000.00 per year | ||||
38
|
Augusta Hitech
|
Coimbatore, Tamil Nadu
|
ML
|
* Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress |
* Managing available resources such as hardware, data, and personnel so that deadlines are met * Verifying data quality, and/or ensuring it via data cleaning | ||||
*Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability * Supervising the data acquisition process if more data is needed | ||||
* Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world | ||||
* Finding available datasets online that could be used for training * Defining validation strategies * Defining the preprocessing or feature engineering to be done on a given dataset | ||||
* Defining data augmentation pipelines * Training models and tuning their hyperparameters * Analyzing the errors of the model and designing strategies to overcome them | ||||
* Deploying models to production * Ability to Constantly improve deployed models \Skills * Proven experience as a Machine Learning Engineer | ||||
* Understanding of data structures, data modeling and software architecture * Deep knowledge of math, probability, statistics and algorithms | ||||
* Proficiency with a deep learning framework such as TensorFlow and Keras * Proficiency with Python and libraries for machine learning such as scikit-learn and pandas | ||||
* Expertise in visualizing and manipulating big datasets * Proficiency with OpenCV * Familiarity with Linux * Ability to select hardware to run an ML model with the required latency | ||||
* Exposure to MlOps tools like MlFlow, Sagemaker or other tools would be a plus. * Exposure to NLP, NLTK, spaCy, transformers * Outstanding analytical and problem-solving skills | ||||
* BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus * Excellent communication skills * Ability to work in a team | ||||
39
|
Tredence
|
Chennai, Tamil Nadu
|
DS
|
* Have the ability to handle structured /unstructured data like Text, Image and have prior experience in loading, validating and cleaning various types of data. |
* Have very good understanding of data structures and algorithms. * Have excellent coding skills in one or more of the following languages: Python, Java, C++ or R | ||||
* Have thorough understanding of one or more of the following: Machine Learning algorithms, Natural Language Processing techniques, and Information Retrieval techniques | ||||
* Have the ability to apply these algorithms in a professional setting. * Be accountable for measuring and optimizing the quality of algorithms. | ||||
* Have mentored and guided junior data scientists in previous roles. * Have ability to identify opportunities where data science techniques can be applied to solve business problems. | ||||
* Prior People Management Experience for at least a year. * Excellent Communication Skills. | ||||
* BE/B. Tech/MS/PhD degree in Computer Science or related quantitative field with 6 to 10 years of relevant experience in a team building world class applications in the areas of Predictive Analytics and Data Science
|
||||
40
|
Keysite Solution
|
Chennai, Tamil Nadu
|
Data Scientist
|
* Analytical skills and Ability to independently consume AI Research material and implement in working Python code. * Demonstrated experience in the same. |
* ML: Random Forests Regression * DL: Neural Embeddings Attention networks and Transformers, Reinforcement Learning with Q tables etc | ||||
* Develop both analytics framework and ML algorithms for the condition based monitoring system. * Automate code for various statistical Hypothesis tests | ||||
* Automate code for Association analysis * Refactor/Optimize the code for many Machine Learning algorithms such as Linear regression, ridge and lasso regression, Regression/Classification Trees, Random | ||||
* Forest, Naive Bayes and K Nearest Neighbours etc * Worked on improving the performance of various clustering techniques such as k-means and k-modes etc | ||||
* machine learning, python, data analysis, sql, analytics, analytical skills, linear regression, reinforcement learning, it, ml, saas, lasso, trees, forest, research, monitoring, analytical, algorithms, regression, clustering
|
||||
41
|
Antal International
|
Chennai, Tamil Nadu
|
ML
|
* Experience with Python(preferred), Shell Scripting and/or R and SQL * Experience working with a data pipeline in the public cloud (AWS highly preferred). |
* Data Visualization: any of Tableau (preferred), PowerBI, QlikView * At least 3-5 years of data science experience * Experience in eCommerce, Retail & Finance is preferred | ||||
* In-depth understanding of statistical and predictive techniques like regression, classification and forecasting | ||||
* Knowledge of techniques such as but not limited to: Linear and Logistic regression, Random Forest, Boosting and Bagging techniques, SVM, Clustering and time series forecasting | ||||
* Familiarity with data visualization tools • Strong interpersonal and management skills. * Excellent verbal and written communication skills. * Enterprise Database: Oracle, SQL Server | ||||
* Retail industry knowledge and experience required * Source control knowledge: GitHub • Agile / Scrum experience preferred | ||||
* To be able to work in a fast-paced agile development environment * Bachelors degree in a Mathematical subject (Computer Science / Math / Statistics / Economics | ||||
42
|
TVS Next
|
Chennai, Tamil Nadu
|
Data Engg
|
* Build and deploy the infrastructure for ingesting high-volume support data from consumer interactions, devices, and apps. |
* Enable data driven change – build effective visualizations and reports presenting data insights to all stakeholders, internal (corporate) and external (our SaaS customers) | ||||
* Develop and maintain the data-related code in an automated CI/CD build/test/deploy environment | ||||
* Generate specific reports needed across tenants to allow insight into agent performance and business effectiveness | ||||
* Research individually and in collaboration with other teams on how to solve problems * Expert level experience with multiple AWS services (like EC2, Lambda, Kinesis/Kafka, RDS, ECS) | ||||
* Python, SQL * Research on new tools/concepts, POC/Prototyping * Contribute with hands-on coding as a major focus * Experience with creating API’s | ||||
* Experience with modern data architecture: microservices/event-driven * Expertise with end-to-end design * Elasticsearch/OpenSearch | ||||
43
|
Cynosure Corporate Solutions
|
Chennai, Tamil Nadu
|
Data Scientist
|
* Apply strong expertise in machine-learning, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services. |
* Being a core technical member of companys Analytics team, who understands business problems and requirements and designs end-to-end analytics solution. | ||||
* Develops complex models and algorithms that drive innovation throughout the organization. This may include improving on-time performance, network planning, etc., | ||||
* Conducts advanced statistical analysis to provide actionable insights, identify trends, and measure performance. | ||||
* Collaborates with model developers to implement and deploy scalable solutions. | ||||
* Provides thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders. | ||||
* 3+ years data science experience in the relevant industry or similar role in the past organization *In depth knowledge of data analysis, machine learning algorithms, statistics, optimization. | ||||
* Strong coding experience with at least one of the programming languages namely R or Python * Experience working structured as well as unstructured datasets is highly preferred. | ||||
* Excellent written and verbal communication skills along with strong desire to work as a team. * Attitude to thrive in a fun, fast-paced start-up like environment. | ||||
* Additionally, having prior experience working with databases Oracle, MongoDB is also preferred. * Prior experience in train and deploy models with AWS is a plus. | ||||
* Optional: programming in C, C++, Java, .Net * “r programming”, “data science”, “machine learning”, algorithms, “data mining”, python, “data analysis”, oracle, aws | ||||
44
|
Zuma
|
Bengaluru, Karnataka
|
ML
|
* Work across engineering, operations, and AI teams to build and scale practical Machine Learning solutions which will improve the intelligence of Kelsey AI |
* Train and maintain our deep learning models and define conversational flows for our chatbot. | ||||
* Strong engineering skills: experience in OOP, Design Patterns, and time and space-efficient algorithms | ||||
* Knowledge in building solutions on a public cloud (eg: AWS, Azure, GCP) * Knowledge working on NLP/NLU solutions from model training to deployment | ||||
* Working knowledge of Python, deep learning frameworks (pytorch, TensorFlow), and experience working with Data Science packages within python | ||||
* Working knowledge of containerization and microservices based solution architecture | ||||
* Understanding of Machine and Deep Learning algorithms and techniques (transformer based architectures, different types of embedding models) | ||||
*Great team player, willing to wear many hats * Flexibility to work across time zones * Computer Vision,Machine Learning,NLP,Python,Keras,PyTorch,spaCy,TensorFlow | ||||
45
|
Gaddiel Technologies
|
Tiruchchirappalli, Tamil Nadu
|
Data Analyst
|
* Analyzing, Mining and Reporting Data * Predictive analysis from structured and unstructured data * Application of standard statistical methods for analysis, documentation and presentation |
* Keen knowledge in statistical methods * Hands on in different ETL Tools * Critical thinking and providing educated guesses where data is sparse or sporadic | ||||
* Good analytical skill, keen attention to detail and knowledge in modeling tools | ||||
46
|
ipcs
|
Tiruchchirappalli, Tamil Nadu
|
Full Stack with Data Science Trainer
|
* Provide demo session to potential students * Deliver training on basic and advanced Python & Data Science courses |
* Help students in the practical execution of Python & Data Science training concepts * Monitor the progress of students through continuous evaluations, helping them grow | ||||
* Minimum of 1+ years of work experience as a Python Developer with Data Sciencek knowledge * Expertise in at least one popular Python framework (like Django, Flask or Pyramid) | ||||
* Experience in MongoDB and associated python libraries * Working knowledge of microservices and REST APIs * Familiarity with some ORM (Object Relational Mapper) libraries | ||||
* Excellent communication and client service skills * Exceptional problem – solving skills and analytical abilities | ||||
47
|
ZF
|
Coimbatore, Tamil Nadu
|
Data Scientist / Data Analyst
|
* Managing, developing and growing the local data analytics team for ZF Industrial Technology Division |
* Responsible for end-to-end development, operation and maintenance of analytics solutions and products | ||||
* Leading agile data analytics projects and align results and progress with stakeholders and customers | ||||
* Collaboration with various interdisciplinary teams and expert groups within the ZF Group | ||||
* Bachelor’s Degree in a quantitative field, like computer science, mathematics, physics, statistics, or engineering with at least 5+ years of industrial background | ||||
* Minimum 3+ years working experience in the data analytics domain and have successfully led analytic projects based on agile working approaches | ||||
* Relevant hands-on experience with state-of-the-art data analytics toolchains * Experience in handling teams particularly data analytics | ||||
* You bring strong knowledge in data query languages like SQL and languages for data processing & process automation like Python, PowerShell | ||||
* You have relevant experience in developing machine learning methods in languages like python and understand the principle of MLOps | ||||
* You bring strong knowledge and experience in analytics tools (e.g., Knime, Databricks, Power BI) | ||||
* Excellent collaboration and communications skills with teams and clients and can communicate complex matters to all stakeholders | ||||
* Strong analytical skills, can motivate people and enjoy working outside your comfort zone | ||||
* R&D Engineer, Research Scientist, Computer Science, Physics, Engineering, Science, Technology, Automotive | ||||
48
|
A for Analytics
|
Chennai, Tamil Nadu
|
Machine Learning Specialist
|
* Develop production-ready implementations of proposed solutions across different ML and DL algorithms, including testing on live customer data to improve efficacy, and robustness |
* Work closely with other functional teams to integrate implemented systems into the SaaS platform | ||||
* Create use cases with respect to domain for solving a business problem. * Research and test novel machine learning approaches for analyzing large-scale distributed computing applications. | ||||
* Suggest innovative and creative concepts and ideas that would improve the overall platform * Knowledge of MySQL/No SQL is an added advantage. | ||||
* Strong understanding of the most recent trends around telecom industry and adoption. *Extensive experience handling data analytics in the telecom industry or on telecom products. | ||||
* Exposure or Experience in building Recommendation engine in a large scale. * Experience on end to end ML models deployment in production. | ||||
* In-depth working knowledge beyond coursework, familiarity with statistical techniques and current ML techniques, both supervised and unsupervised learning techniques and other ML Techniques. | ||||
* Experience in working on modeling graph structures related to spatiotemporal systems. * Keras, TensorFlow,PyTorch. And knowledge of Big Data tools and environment. | ||||
* Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization. | ||||
* 3 – 4 years’ experience in analytics or program management * 3 – 4 Proficiency using SQL and querying relational databases | ||||
* 3 – 4Experience in at least one statistical programming language (SAS, R, Python) * 3 years experience with project/program management | ||||
49
|
IMMO
|
Chennai, Tamil Nadu
|
Data Scientist
|
* Foster a scientific approach to business problems, form hypotheses and test them with data. Create prediction models and find creative ways to validate and improve their performance. |
* Join one of our product teams working on market intelligence, investments or property acquisitions. Create data products we can use in our operational day-to-day. | ||||
* Propose appropriate solutions, create prototypes, and demonstrate business value. Work with our data platform team to bring your solution into production. | ||||
* Work with data from a variety of internal and external datasets. Find the right one for your use case. | ||||
* Explore it quickly and carefully, understand its usefulness and challenges. Work with data engineers to integrate and curate new datasets with value for our business and data teams. | ||||
* strong track record of applying quantitative analysis to see beyond the numbers, generate actionable insights and drive the adoption of your proposed changes by influencing stakeholders. | ||||
* proven experience with methods beyond summary statistics like hypothesis testing, Bayesian statistics, econometrics or machine learning. | ||||
* strong python or R skills, create prototypes and effectively explore big and small data in all shapes. Software development or MLOps experience is a plus. | ||||
* use SQL to access and transform data. Basic experience with a BI tool like Looker or Tableau is a plus. | ||||
* self-starter who is comfortable working autonomously and with teams located across our offices. | ||||
50
|
FactEntry Data Solutions Pvt Ltd
|
Vellore, Tamil Nadu
|
Data Scientist
|
* Proficient knowledge of programming in Python * Ability to wrangle both Unstructured and Structured data. * Work on research problems in information extraction, search and language processing. |
* Experience with deep learning frameworks such as PyTorch / TensorFlow / Keras. * Comfortable with tools/libraries/APIs such as Hugging Face, flair, OpenAI, etc. and Transformer architectures – BERT, GPT2/3
|
||||
* Hands-on experience on few problems like Named Entity Recognition semantic search, sentiment/text classification, topic modeling, | ||||
* question answering, summarization, information retrieval/extraction, language generation/understanding, chatbots etc. * Excellent problem solving and data analysis skills | ||||
* Experience with text data pre-processing, building pipelines and parsing of data coming from different sources like PDFs, WebPages, APIs etc. | ||||
* Extend ML libraries and frameworks to apply in NLP tasks * Perform statistical analysis of results and refine models. * Proficient understanding of code versioning tools, such as Git | ||||
* Create language models from text data. These language models draw heavily from statistical, deep learning as well as rule based research in recent times around building taggers, parsers, knowledge graph based dictionaries etc.
|
||||
* Remain updated in the rapidly changing field of machine learning and NLP. * Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models | ||||
* Work closely with product teams to implement algorithms that power user and developer-facing products | ||||
* Keyskill: Python, Deep learning, NLP, NLU , NLG, Big Data, Data Analysis, Machine Learning, SQL, NoSQL, MongDB, Artificial Intelligence | ||||
* Required Skills: Python development, system testing, Artificial intelligence, Machine learning, pyspark, linux | ||||
51
|
Vikatan Group
|
Chennai, Tamil Nadu
|
Data Scientist
|
* Work with stakeholders throughout the organisation to identify opportunities for leveraging company data to drive business solutions. |
* Mine and analyse data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. | ||||
* Assess the effectiveness and accuracy of new data sources and data gathering techniques. * Develop custom data models and algorithms to apply to data sets. | ||||
* Use predictive modelling to increase and optimise customer experiences, revenue generation, ad targeting and other business outcomes. | ||||
* Develop company A/B testing framework and test model quality. * Coordinate with different functional teams to implement models and monitor outcomes. | ||||
* Develop processes and tools to monitor and analyse model performance and data accuracy. * Base in statistics, algorithms, machine learning and mathematics | ||||
* Strong Knowledge of tools – Bigquery, Elastic Search, Spark, Python or R, etc. * Experience in working with large data sets and real-time reports. | ||||
* Should have an Analytic mindset to think through problems and design solutions. * Interest and competence in data visualisation by helping the editorial team. | ||||
* They must know statistical programming language like R or Python or Julia or SAS, and a database querying language like SQL * To know Data visualisation tools like Tableau, Grafana, d3.js. | ||||
* Data desk will sort through the data collected and analyse the trend, pattern, collaborate with the content, visual journalism | ||||
* To find out as in what, when and how to collect the data also how to report and instruct the same to the editorial team. | ||||
52
|
Kanini Software Solutions
|
Chennai, Tamil Nadu
|
Developer – Data Science
|
* Perform analysis on fraud data/trends; design solutions using standard data science techniques. * Communication stakeholder management skills. |
* Build sophisticated predictive models to assess the risk. * Translate analysis results into actionable fraud controls. * Explain analysis results to key business partners. | ||||
* Bachelor s degree or four or more years of work experience. * Python (including packages like SciKitLearn, numpy, pandas, keras tensor flow) | ||||
* SQL experience one or many (Postgres, Oracle, SQL Server, Terra data) * Experience in VLDB, enterprise environments. * Programming Language(s): Experience in combinations of SQL, Python | ||||
* OS/HW: Experience in Linux/Unix open systems, AWS and/or Windows environment * Strong analytical skills and ML Modelling experience (Supervised, Unsupervised, Neural Networks) | ||||
* Should have experience/expertise in production ML based solutions * Should have the breadth on various ML frameworks * Should have knowledge on the core concepts of Machine Learning | ||||
* Good written and verbal communication. * Experience with other data analysis software and scripting languages (e.g. R, SAS). * Strong background in statistics. | ||||
* Risk management/modelling experience. | ||||
53
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Objectways Technologies
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Karur, Tamil Nadu
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Senior Data Scientist
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* Undertaking data collection, preprocessing and analysis * Building models to address business problems * Presenting information using data visualization techniques |
* Identify valuable data sources and automate collection processes * Undertake preprocessing of structured and unstructured data * Analyze large amounts of information to discover trends and patterns
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* Build predictive models and machine-learning algorithms * Combine models through ensemble modeling * Present information using data visualization techniques | ||||
* Propose solutions and strategies to business challenges * Collaborate with engineering and product development teams * Proven experience as a Data Scientist or Data Analyst | ||||
* Experience in data mining * Understanding of machine-learning and operations research * Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset | ||||
* Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) * Analytical mind and business acumen * Strong math skills (e.g. statistics, algebra) | ||||
* Problem-solving aptitude * Excellent communication and presentation skills * BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
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54
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Shell
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Chennai, Tamil Nadu
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Associate Data scientist
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* Works within a variety of well-defined and standard R&D techniques, procedures, and practices. |
* Works under general guidance and work instructions which requires the job holder to apply a combination of applied and theoretical knowledge within a well-defined scope. | ||||
* Has knowledge about a specific discipline and may coach less experienced colleagues, but not yet regarded as an internal or external expert. | ||||
* Supports the Data Analytics team in the design and execution of analytics projects. * Works with data and technology experts to help execute analytics projects and deploy solutions. | ||||
* Develops optimal analytical models that address the business requirement, with acceptable levels of accuracy. * Writes efficient code that incorporates best practices in that technology. | ||||
* Supports the design and delivery of analytics projects, within or cutting across different business units in Shell. | ||||
55
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ZF
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Coimbatore, Tamil Nadu
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Data Scientist
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* Managing, developing and growing the local data analytics team for ZF Industrial Technology Division |
* Responsible for end-to-end development, operation and maintenance of analytics solutions and products | ||||
* Leading agile data analytics projects and align results and progress with stakeholders and customers | ||||
* Collaboration with various interdisciplinary teams and expert groups within the ZF Group * Relevant hands-on experience with state-of-the-art data analytics toolchains | ||||
* Bachelor’s Degree in a quantitative field, like computer science, mathematics, physics, statistics, or engineering with at least 5+ years of industrial background | ||||
* Minimum 3+ years working experience in the data analytics domain and have successfully led analytic projects based on agile working approaches | ||||
* Experience in handling teams particularly data analytics * You bring strong knowledge in data query languages like SQL and languages for data processing & process automation like Python, PowerShell | ||||
* You have relevant experience in developing machine learning methods in languages like python and understand the principle of MLOps | ||||
* You bring strong knowledge and experience in analytics tools (e.g., Knime, Databricks, Power BI) | ||||
* Excellent collaboration and communications skills with teams and clients and can communicate complex matters to all stakeholders | ||||
* Strong analytical skills, can motivate people and enjoy working outside your comfort zone | ||||
56
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Avenues ads
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Othakadai, Tamil Nadu
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Data Scientist
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* Store and manage data in multidimensional databases * Collect data and analyze for trends, patterns, summaries, and meaning |
* Determine reasons behind a business’s past successes or failures via data analysis * Manage multiple analytical projects at a time, in a fast-paced, intense, and results-oriented environment. | ||||
* Use statistical techniques and programming software to create algorithms and predictive models * Create visualizations of data to report to shareholders in the form of reports or presentations | ||||
* Predict future trends within the organization and in the industry as a whole * Produce actionable business insights, such as strategic recommendations | ||||
* Identify new markets and ways to increase productivity, or other improvements * Train internal staff in technical processes, and provide mentoring to staff | ||||
* Minimum 1 year experience in analytics, engineering, or management consulting or equivalent analytical and project management experience | ||||
* Accomplished Contributor with experience managing high-performing Data Scientists and Quantitative Analysts | ||||
* Experience working within and driving strategy for large, global, complex organizations across multiple stakeholders and teams | ||||
* Exceptional problem-solving skills, with a strong ability to drive towards action and impact * Experience in managing analytics projects from inception to delivery, including developing structured solutions | ||||
* Experience with visualizations, dashboards, and reports * Experience with data modeling, machine learning algorithms, and data science techniques. Use of Python, SQL & BigQuery | ||||
* Experience explaining technical concepts and analysis implications to varied audiences and translating business objectives into analyses. | ||||
57
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EinNel Technologies
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Chennai, Tamil Nadu
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Trainee Data Scientists
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* B.Tech/ M.Tech mechanical or any other relevant branches * Engineers with strong Mechanical fundamentals, Maths & Analytical skills |
* Good Attitude towards constant learning in new AI, IOT, Cloud technologies * Compatibility to have extended work schedule * Good Programming Skills and Basic Knowledge on Python. | ||||
58
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SmartRun Technologies Pvt. Ltd.
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Kanchipuram, Tamil Nadu
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Data Analyst
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* 1 to 2 years of Proven experience as a Data Scientist or Data Analyst * Experience in data mining, understanding of machine-learning and operations research |
* Knowledge of R, SQL and Python; familiarity with Scala, Spark, Hive, Java is an asset * Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) | ||||
* Experience in data testing and data quality processes * Analytical mind and business acumen with Problem-solving aptitude * Excellent communication and presentation skills | ||||
* BCA/MCA/B. E/M.Sc. in Computer Science or relevant field; graduate degree in Data Science or other quantitative field is preferred | ||||
59
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Roche
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Chennai, Tamil Nadu
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Junior Data Scientist
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* Overall experience of 2-5 Years, with experience in the data science / ML space is a must |
* Some experience in the following quantitative fields: Deep learning, Reinforcement Learning, Causal Inference, A/B Testing, Multi-armed Bandits, and Design of Experiments | ||||
* Demonstrated proficiency in leveraging open source libraries and packages such as Spark, TensorFlow, Keras, PyTorch to solve Enterprise problems | ||||
* Deep proficiency in modeling techniques such as content based filtering, collaborative filtering, clustering etc. | ||||
* Good to have knowledge in Deep Learning with applications focused on Recommendation Engines (such as feed forward neural networks, convolutional neural networks, or recurrent neural networks) | ||||
* Experience working with large, complex data using Hadoop or Spark or any other big data platforms | ||||
* Good to have strong knowledge of secondary data sources including syndicated sales, promotional & marketing data, longitudinal patient level data; payer data (IQVIA – XPONENT/DDD/HCOS/LAAD/CLAIMS, SHA / SHS/ Truven Rx, Mx, Dx Claims, MMIT, DRG)
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* Proficiency using ML in a variety of contexts, particularly text classification and clustering * Experience with data visualization tools such as tableau, and/or Qlik is nice to have | ||||
* proficiency with R or Python a must and experience with PySpark will be an added advantage * experience with Git, Gitlab is nice to have * understanding of software testing (unit tests, integration tests, smoke tests)
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* good software engineering practices, design patterns * bash/shell scripting is nice to have * experience with cloud platforms (preferred AWS) | ||||
* Demonstrated ability to solve problems and think outside the box. * Good in time-management, project management, and teamwork; Strong attention to detail | ||||
* Experience translating research or analysis to communicate (in presentations and in writing) concise and compelling business stories that influence decisions and strategy | ||||
* Work on data science and data engineering elements of AI/ML projects * Research new algorithms, innovative tools and train team members to grow GATE’s Data Science expertise | ||||
* Apply ML and applied statistics approaches to answer a variety of complex business questions using multiple data sources and technical tools. | ||||
* Collaborate within cross-functional teams to develop efficient recommendation systems, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision-making | ||||
* Openly share perspective and insights to elevate team thinking and drive a balanced, holistic point of view; effectively weigh and communicate trade-off considerations. | ||||
* Take an enterprise mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business value | ||||
* Demonstrate self-accountability and results ownership. * Look for opportunities for continuous improvement; engage managers and peer groups regularly for coaching, assistance, and advocacy. | ||||
* UG: B.Tech/B.E. – Any Specialization (Computer Science preferred) * Master’s Degree – Data Science, Machine Learning, Statistics, Economics/Econometrics, Computer Science or related field- Nice to have | ||||
* Any certifications on AI/ML/Data science would be an added advantage. | ||||
60
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QSSOT Technology
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Coimbatore, Tamil Nadu
|
Data Scientist
|
* Role Description : – Experience in the development of diagnostic and prediction models using advanced analytics and machine learning. * Expert knowledge in SQL and R. |
* Profound knowledge in data analysis, advanced analytics, statistics and machine learning. * Experience with agile project methods (Scrum / Kanban) desirable. | ||||
61
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Mindwise Solutions Private Limited
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Chennai, Tamil Nadu
|
data scientist
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* Should have 2 to 4 years of experience in doing data science with python * Perform data science and analytics on a combination of unstructured and structured data |
* Fluent in python and pandas * Fluent in various data science concepts and algorithms, including supervised and unsupervised learning, regression, clustering, predictive modeling, time series analysis | ||||
* Fluent in at least one python-based data science framework such as SKLearn or similar * Experience in NLP concepts and techniques such as TF-IDF, sentence embeddings, BERT modeling, LDA or similar | ||||
* Should have experience with regular expressions * Should have experience with python NLTK, Spacy or similar library | ||||
* Should be able to convert jupyternotebooks to standalone python scripts that can be deployed in production * Comfortable working in a linux command line environment as well as with Jupyternotebook. | ||||
* Experience with Tensor Flow a plus * Experience with Solr/ElasticSearch a plus * Salary: ₹635,995.37 – ₹1,876,220.65 per year | ||||
62
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L&T Infotech
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Chennai, Tamil Nadu
|
Data Scientist- Computer Vision
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* Computer Vision Engineering Graduate or Postgraduate in Computer Science or Related field with Advanced Knowledge in Computer Vision and Deep Learning |
* Advanced Computer Vision , Image Processing and Image segmentation, Feature extraction, High Dimension Classifiers and Object Tracking Algorithms | ||||
* Working Knowledge in TensorFlow, TensorFlow Lite, OpenVINO, Keras, YOLO V4, YOLO V5, Caffe, Open CV. | ||||
* Knowledge in Architecting algorithms considering hardware system and Cloud eg.Azure or any other equivalent Cloud system | ||||
* Product Engineering Background is preferred | ||||
Wonder Worth Solutions
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Vellore, Tamil Nadu
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MACHINE LEARNING ENGINEERS
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* A bachelor/Master degree in IT, computer science, or advanced related field is preferred * At least 4+ experience with: HTML and PHP topped upon a relevant back-end programming language. | |
* Tech savvy, detail oriented, and highly driven. * Familiarity with database technology and terminologies such as MySQL, Oracle. | ||||
* Strong knowledge of Object Oriented development and design principles. * Experience implementing testing platforms and unit tests. * Flexibility in shifts is appreciated. | ||||
CanGo Networks
|
Chennai, Tamil Nadu
|
Data Scientist
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* Develop production-ready implementations of proposed solutions across different ML and DL algorithms, including testing on live customer data to improve efficacy, and robustness | |
* Work closely with other functional teams to integrate implemented systems into the SaaS platform * Create use cases with respect to domain for solving a business problem | ||||
* Research and test novel machine learning approaches for analyzing large-scale distributed computing applications. | ||||
* Suggest innovative and creative concepts and ideas that would improve the overall platform * Strong understanding of the most recent trends around telecom industry and adoption. | ||||
* Extensive experience handling data analytics in the telecom industry or on telecom products. * Exposure or Experience in building Recommendation engine in a large scale. | ||||
* In-depth working knowledge beyond coursework, familiarity with statistical techniques and current ML techniques, both supervised and unsupervised learning techniques and other ML Techniques. | ||||
* Experience on end to end ML models deployment in production. * Experience in working on modeling graph structures related to spatiotemporal systems. | ||||
* Keras, TensorFlow,PyTorch. And knowledge of Big Data tools and environment. * Knowledge of MySQL/No SQL is an added advantage. | ||||
* Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization. | ||||
RapidData Technologies | Chennai, Tamil Nadu | Data Scientist | * Python, Tableau, Power BI, AI, ML | |
Ford Motor Company
|
Chennai, Tamil Nadu
|
NLP Data Scientist
|
* Should have experience in feature engineering, hyper parameter tuning, model evaluation etc. * Good exposure to machine learning/text mining tools and techniques such as Clustering/classification | |
* SVM, Deep Learning networks like FRCNN, MRCNN, ResNet, FVRCNN, SalsaNext, NASnet, LSTM Reinforcement learning, and other numerical algorithms | ||||
* Should have experience in using Pandas/Numpy/ScikitLearn, Pytorch, Tensorflow, Keras, ROS, Gazebo, OpenJAUS | ||||
* Practical knowledge of automotive sensors like Camera, RADAR etc. |
Choosing the best data science company can start your journey to a bright future. But with increasing competition, you need to stand out from the crowd. A data science certification from a reputable organization will give you a competitive edge and help advance your career.
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