Table of Contents
Introduction
Honeywell is inviting applications for a Data Scientist I – Aerospace role based in Bengaluru, India, marking a strong entry‑level opportunity for freshers and early‑career professionals in data science and analytics. This onsite position sits under the Engineering job category and is explicitly open to candidates with 0–2 years of experience, making it well‑suited for final‑year students, recent graduates, and those starting their analytics careers.
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About the role
| Aspect | Detail |
|---|---|
| Job title | Data Scientist I – Aerospace |
| Job ID | 109996 |
| Company | Honeywell (Aerospace / Honeywell Aerospace Technologies) |
| Location | Bengaluru (Bangalore), Karnataka, India – on‑site |
| Job category | Engineering / Data & Analytics |
| Experience required | 0–2 years (entry‑level / fresher‑friendly) |
| Work type | Full‑time, permanent careers. |
| Industry / domain | Aerospace, industrial technology, data analytics careers. |
| Key responsibilities | Applying data analysis, machine learning, and statistical modeling; working with engineering / operational data; building analytics models; communicating insights to stakeholders. |
| Core skills expected | Python (or similar programming language), machine learning / statistical modeling, data analysis and problem‑solving skills. |
| Preferred qualifications | Bachelor’s degree (or advanced degree) in Computer Science, Statistics, Mathematics, Engineering, or related discipline; experience in data‑science projects or internships valued. |
| Typical profile fit | Final‑year students, freshers, early‑career data scientists / engineers with project‑ or internship‑level exposure. |
| Apply here | Click Here |
- Job title: Data Scientist I – Aerospace
- Job ID: 109996
- Location: Bengaluru, Karnataka, India (on‑site)
- Experience level: 0–2 years or relevant experience preferred
- Job category: Engineering
As a Data Scientist I, you will work with real‑world engineering and aerospace datasets to build analytics models, support data‑driven decision‑making, and help solve complex operational and technical challenges. The role is designed for early‑career talent who have hands‑on exposure to data science, machine learning, and programming through academic projects, internships, or personal work.
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Join NowWhat you will do (key responsibilities)
Honeywell lists the role as being responsible for:
- Collaborating with cross‑functional teams to understand business or engineering problems and translate them into data‑driven solutions.
- Collecting, cleaning, and processing large datasets from engineering and operational systems.
- Building and implementing analytics and machine‑learning models to derive insights and support decision‑making.
- Visualizing results and communicating findings to stakeholders in a clear, actionable format.
These responsibilities point to a hands‑on analytics role where you will work with real production data in an aerospace and industrial‑technology environment, rather than just theoretical or lab‑based projects.
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Who can apply
Although the detailed “you must have” and “we value” bullets are page‑specific and not fully reproducible, the public‑facing information indicates that:
- Candidates should hold a Bachelor’s degree (or equivalent) in a technical discipline such as Computer Science, Statistics, Mathematics, Engineering, or a related field.
- Experience range is 0–2 years, with preference for relevant experience; internships, academic projects, and hackathons are valid as “experience” in this context.
- The role is open to early‑career data professionals who are comfortable with programming (for example, Python), data analysis, and model development.
This makes the opening suitable for:
- Final‑year B.Tech/B.E. or integrated‑M.Tech students in CSE, IT, ECE, or related branches.
- M.Sc. or M.Tech graduates in Data Science, Statistics, or related domains.
- Diploma‑to‑degree holders with strong data‑science portfolios and projects.
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Why this role is attractive for freshers
Several factors make this an appealing first‑job option for data‑science aspirants:
- Global tech brand: Honeywell is a diversified, global technology company spanning aerospace, industrial, and building technologies, giving you exposure to large‑scale, real‑world systems.
- Early‑career exposure: The Data Scientist I designation is tailored for early‑career professionals, meaning you will get structured learning, mentorship, and guided projects rather than being thrown into senior‑level expectations.
- Domain diversity: Working in an aerospace‑aligned engineering team exposes you to industrial‑grade data (sensors, operations, maintenance, etc.), which is highly valuable for building a strong data‑science portfolio.
For freshers, this role combines the prestige of a multinational brand with the practical, hands‑on work that hiring managers in analytics value.
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Join NowHow to apply
To apply for the Honeywell Data Scientist I – Aerospace (Job ID: 109996) role:
- Go to the official application page:
- Use the portal to upload your resume and fill in the required details (education, experience, projects, etc.).
- Submit the application before the job posting closes; Honeywell typically keeps such roles open for a limited window.careers.
Candidates are advised to:
- Tailor their resume to highlight data‑science projects, programming skills, and any machine‑learning or analytics work.
- Mention relevant tools and languages (for example, Python, SQL, and visualization tools) explicitly.
Tips if you are a fresher
If you are a fresher targeting this role, consider the following:
- Build a mini portfolio: Showcase 2–3 data‑science projects (e.g., prediction models, dashboarding, or EDA) on GitHub or a personal website.
- Brush up core concepts: Focus on Python, statistics, basic machine learning (regression, classification, clustering), and SQL basics.
- Mention domain interest: Clearly state your interest in engineering, aerospace, or industrial‑technology domains in your resume or cover note, as this role sits under Aerospace.
Final note
The Honeywell Data Scientist I – Aerospace (Job ID: 109996) is a structured, early‑career opening that blends analytics with real‑world engineering and aerospace applications. For freshers and recent graduates in data science, computer science, and related fields, it offers a chance to start their career in a global tech organization with a strong focus on innovation and data‑driven decision‑making.
If you meet the eligibility and are comfortable with data analysis and programming, this role is worth applying for and can be a strong launchpad for your data‑science career.
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