Data Science Intern
GE Aerospace
This job at a glance
- Who can apply
- Freshers and up to 1 year · B.Tech / B.E. or M.Tech
- Must know
- LLMsMachine learningStatisticsSalesOperationsPython
- Work
- On-site in Bengaluru · internship
- Pay
- Not stated by the employer.
- Skill demand
- Statistics21%LLMs7%Machine learning7%of 28 similar fresher jobs posted in India this week
- Listed
- 4 Nov 2026 · still open
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About the Role
The Data Science Intern will work as part of a team to research, develop, and implement Artificial Intelligence and Generative AI based solutions across various disciplines in GE Aerospace under the guidance of senior team members. As part of the Data Science & AI team, the candidate will contribute to the development and deployment of modern machine learning, generative AI, artificial intelligence, statistical and probabilistic methods, operations research, semantic analysis, and large language model applications for finding structure and generating insight from data sets within the Customer Experience and Commercial Sales functions of GE Aerospace.
Key Responsibilities
- Be a part of the development team to work on Data Science technologies (GenAI, Python, cloud platforms, statistics, machine learning, deep learning).
- Work closely with an identified mentor on allocated projects.
- Analyze, design, test, and integrate components that meet business standards and program/product requirements.
- Document technical data generated by the assigned project consistent with organization policies and procedures.
- Prepare and present technical data and document, and communicate the results of technical data generated.
Qualifications & Requirements
- Students of B. Tech [3rd Year or 4th Year] or M. Tech [1st Year or 2nd Year] from reputed institutes.
- Candidate has to be from CS/IT stream with Data Science or AI Specialization (preferred).
- Eligibility Criteria: 7 CGPA/70 Percentage & above (with no active backlogs).
- NOC from college authorities to be submitted before offer issuance.
Desired Characteristics
- Technology enthusiast. Up to date with current industry standards, trending software, and information technology development tools.
- Strong in Python programming and machine learning.
- Good written and verbal communication skills.
- Humble: respectful, receptive, agile, eager to learn.
- Transparent: shares critical information, speaks with candor, contributes constructively.
- Focused: quick learner, strategically prioritizes work, committed.
- Leadership ability: strong communicator, decision-maker, collaborative.
- Problem solver: analytical-minded, challenges existing processes, critical thinker.