Table of Contents
Data Engineer Salary Range in India
The average Data Engineer salary in India is Rs.8,56,643 LPA. But of course, the Data Engineer salary depends on several factors, including company size and reputation, geographical location, education qualifications, job position, and work experience. Reputed companies and big players in the Big Data industry like Amazon, Airbnb, Spotify, Netflix, IBM, Accenture, Deloitte, and Capgemini, to name a few, usually pay high compensation to Data Engineers. Also, the more your past work experience in Big Data, the higher will be your market value.
“While IT firms have shown a negative trend, the demand for data engineering professionals has increased across the companies, resulting in a significant jump in their salary structure. Whereas for salaries across analytics skills, advanced analytics roles and predictive modelling professionals grabbed the limelight compared to other roles.”
As for Data Engineers in their early career (1-4 years of experience), they make anywhere around Rs.7,37,257 LPA. As they proceed to mid-level (with 5-9 years of experience), the salary of a Data Engineer becomes Rs.1,218,983 LPA. Data Engineers having over 15 years of work experience can make more than Rs.1,579,282 LPA.
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Data Analyst Salary Per month in India
For a data analyst in India, having 1 – 4 years of experience has a gross earning (including tips, bonus and overtime pay) of Rs 33,000/month , while a mid-career Data Analyst with 5 – 9 years of experience can make up to Rs 50,260/month based on the organization and the location of the working place. And if you are a matured and experienced Data Analyst who has been in the industry or 10 – 19 years can earn an average total compensation of Rs 75000/month.
– 78% of the analytics professionals in India are under the salary bracket of 0 – 6 Lakhs at their entry level, but since there has been a rise in the number of freshers in Data Analysis in India, this is an excellent indication for maturing the industry.
– The salaries for 4 – 6 years of experienced remain stable at 8.7 Lakhs.
– For the Senior Data Analyst having substantial experience of 12 or more years has witnessed a sharp 20% rise in their salaries last year.
Factors Affecting Data Scientist Salary in India
Data Scientist salaries in India can be affected by multiple factors. Let’s see some primary salary affecting factors:
- Location
- Experience
- Skills
- Company
Data Scientist Salary by Location
1: Which of the following algorithms is most suitable for classification tasks?
The number of job opportunities and the annual data scientist salary in India for data innovators is the highest in Mumbai, followed by Bangalore and New Delhi. However, since Bangalore is the startup capital of India, it has the most opportunities for jobs in startups. A data scientist’s salary in Bangalore would more likely to be higher than the other cities as it is considered to be the hub of the tech industry of India.
According to Payscale, Data scientist salary per month in India based on location:
- Mumbai – ₹65732
- Chennai – ₹66200
- Bangalore – ₹82040
- Hyderabad – ₹66251
- Pune – ₹60,428
- Kolkata – ₹33581
Bangalore, Chennai and Hyderabad are among the highest-paying cities for the Data Scientists in India
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Data Scientist Salary by Experience
Let’s see how a Data Scientist salary in India varies based on experience.
A career in data especially appeals to young IT professionals because of the positive correlation between years of work experience and higher-paying salaries. In this section, we will see how data scientist salary increase based on experience. Salaries in the field of data might look something like the following, in the future:
- For a fresh graduate, the average entry-level data scientist salary in India is ₹511,468.
- An early career data scientist with 1-4 years of experience earns an average of ₹773,442 annually.
- An employee with 5-9 years of experience would have the potential to secure between INR 12-14 lakhs. According to payscale, the average mid-level data scientist salary is ₹1,367,306.
- A highly experienced employee with decades of experience or who has held managerial roles can expect anywhere from INR 24 lakhs up to a healthy crore of rupees!
A Data analyst’s salary increases by 50% with a promotion from the role designated to them to a higher level.
Data Scientist Salary by Skills
In order to secure such a high-paying job, you are expected to go beyond the qualifications of a Master’s degree and be familiar with the respective languages and software utilized for managing data. Some more insights from AIM:
- The most important and coveted skill is being familiar with R followed by Python. Python salary in India alone promises of 10.2 lakhs INR.
- The combination of knowledge of Big Data and Data Science increases a Data Analyst’s salary by 26% compared to being skilled in only one of the areas.
- SAS users are paid between INR 9.1-10.8 lakhs versus SPSS experts earning INR 7.3 lakhs.
- Machine Learning salary in India starts from around 3.5 lakhs INR to if you grow in this field it can take a leap up to 16 lakhs INR. Python is one of the most recommended languages when it comes to ML, and to add to that, Python developers’ salary in India is among one of the highest.
- Extended knowledge of Artificial Intelligence can help you make a career overall. The Artificial Intelligence salary in India offers not less than 5-6 lakhs INR if you are a beginner in this industry.
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Data Scientist Salary by Companies
Without a doubt, prestigious firms dominate the charts of the highest paying salaries for data jobs. They also hold a reputation for increasing salaries by 15%, annually. Some of data scientists salary provided by top firms:
Source
- IBM Corp: INR 1,468,040
- Accenture: INR 1,986,586
- JP Morgan Chase and Co: INR 997,500
- American Express: INR 1,350,000
- McKinsey and Company: INR 1,080,000
- Impetus: INR 1,900,000
- Wipro Technology: INR 1,750,000
Data Scientist Salary in India
You can notice a delighting hike in the Data Scientists salary in India. To sum up, even if you find a bit of curiosity in this enterprise, there are much higher chances for you to earn higher than your peers working in any other field.
Data Science is a much bigger umbrella that includes a vast variety of subjects that might interest you. From Data Analyst to Machine Learning Engineer, to even Python Developer. All of it comes under the umbrella of “Data Science”, and each of these positions is awarded a hefty salary, obviously, depending on their skillset.
Data Scientist Salary in Other Countries
Let’s look at the average data scientist salary in other countries.
Data Scientist Salary in The US: $96,072
Data Scientist Salary in The UK: £40,159
Salaries of Other Related Roles
Let’s look at the average salaries of other related roles compared to the Data Scientist salary in India.
Software engineer average salary in India: ₹510,982
Senior Business Analyst average salary in India: ₹975,409
Technical Consultant average salary in India: ₹895,842
IT Consultant average salary in India
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How Much Is a Data Scientist’s Salary?
The average data scientist salary is $100,560, according to the U.S. Bureau of Labor Statistics. The driving factor behind high data science salaries is that organizations are realizing the power of big data and want to use it to drive smart business decisions. And because the supply of data professionals hasn’t yet caught up with demand, starting salaries for these positions remain high, especially for those who have an advanced degree in data science or a related field.
How Much Can You Make as a Data Scientist?
It’s not a secret that data scientists can bring an immense amount of value to the table. Yet finding one person who can do all the tasks required of a data scientist is challenging, and competition over hiring these professionals is fierce. As a result, employers are willing to pay talented data scientists top salaries.
A data scientist’s salary depends on several factors:
- Experience
- Job title
- Industry
- Company size
- Region
- Education
Data Scientist Salary by Experience
According to a Data Science Salary Survey, experience is one of the most important factors in a data scientist’s salary. For every year of experience, data science professionals make an average of $2,000 to $2,500 more.
A 2020 Burtch-Works study of data science salaries reported the latest salary trends based on experience:
Entry-level data scientist salary. Despite a recent influx of early-career professionals, the median starting salary for a data scientist remains high at $95,000.
Mid-level data scientist salary. The median salary for a mid-level data scientist is $130,000. If this data scientist is also in a managerial role, the median salary rises to $195,000.
Experienced data scientist salary. The median salary for experienced data science professionals is $165,000—while the median salary for experienced manager-level professionals is considerably higher at $250,000.
Data Scientist Salary by Job Title
In one of the latest data science salary report, 45 percent of those surveyed said they hold the title of “data scientist.” Another 31 percent said they are upper management; an engineer, developer, or programmer; or other. In general, the more a data science professional engages in managerial tasks—such as leading team projects, identifying business problems to be solved with analytics, or communicating with external parties—the higher the salary.
Data scientist
Those with the job title of “data scientist” are generally experienced, expert-level professionals in data-driven organizations.
Salary range: $85,000-$170,000
Data analyst
Data analysts work hands-on with data and tend to be at a point in their careers when they are focused on building up data science tools and skill sets.
Entry-level salary: $50,000-$75,000
Experienced salary: $65,000-$110,000
Data science/analytics manager
These professionals have one to three direct reports, sharp technical and quantitative skills, and strong leadership and business aptitude.
Salary range: $90,000-$140,000
Big data engineer
Engineers can solve problems and drive business value by building the platforms and applications that data scientists use to perform data analytics.
Junior/generalist salary: $70,000-$115,000
Domain expert salary: $100,000-$165,000
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Data Scientist Salary by Industry and Company Size
The industries with the highest median data science salaries are:
- Cloud services, hosting, and CDN
- Search and social networking
- Banking and finance
It’s important to note that only 12 percent of data scientists worked in these three industries. Nearly 30 percent worked in either consulting or software (SAAS, web, and mobile).
Perhaps not surprisingly, some of the highest paid data scientists work at leading tech companies. Here are average salaries at several high-profile organizations:
Google: $152,856
Apple: $145,974
Twitter: $135,360
Facebook: $134,715
PayPal: $132,909
Airbnb: $127,852
Microsoft: $123,328
As far as company size, the larger the organization, the larger the salary. For example, in a company with at least 10,000 employees, a data scientist would likely earn a higher income than the same role at a company with less than 1,000 employees.
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Data Scientist Salary by Region
Data scientists’ salaries depend greatly on the region in which they live. The highest salaries are in California, which is also where the majority of data scientists work. The Pacific Northwest has fewer data scientists than most regions of the country, but it boasts the second highest salaries.
Data Scientist Salary by Education
Data scientists are rare, especially when it comes to having the right combination of education and skills. At the most basic level, data scientists must know how to write code. In fact, the highest data scientist salaries belong to those who code four to eight hours per week; the lowest salaries belong to those who don’t code at all.
Data scientists also need to wield the technologies that tame big data—and be able to learn the new and emerging ones—as well as open-source tools, cloud computing, and data visualization. It’s not enough to simply know how to use these tools, however; it’s crucial that data scientists know how to use them to derive actionable insights that will improve their organization.
Additionally, data science positions require sharp business acumen, scientific curiosity, and strong leadership and communication skills. Having them will greatly affect salary.
Data scientists tend to have advanced degrees in quantitative disciplines such as data science, applied mathematics, statistics, computer science, engineering, economics, or operations research. A data science master’s degree will give you the precise education you need to be ready for a career in data science. Even if you are not ready for a full master’s degree, a data science certificate can help you keep pace in the rapidly evolving field.
Conclusion
The opportunities for Analysts and Data Scientists are currently at their prime in India. With the large volumes of data being generated by businesses and the availability of data and tools to extract it – and the urge to gain insights from it. It includes the rise in Data Analyst’s salary and Data Scientists salary India.
These numbers above are not set in stone. The real influencer of your salary is the skills you have, the mastery you have attained over them, and how quickly you grow and make the company grow as well.
You are likely to receive an annual bump up of around 15% in your salary. This will further increase with an increase in the years of work experience and the number of skills you have mastered. Therefore, whether you are starting from scratch or you are already experienced in the field of data. You will always have this motivating factor driving you in your career!
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