Data Science Intern

GE Aerospace · Bengaluru

  • SalaryNot disclosed
  • Work modeonsite
  • Levelintern
  • Posted18 Sept 2026

About GE Aerospace

GE Aerospace is hiring in Bengaluru in manufacturing industrial.

Skills

  • Python
  • machine learning
  • deep learning
  • Generative AI
  • cloud platforms
  • statistics

The role

A data science intern at an aerospace manufacturing company applies machine learning, deep learning, and Python to develop analytical components for business and product requirements. The role also uses Generative AI and cloud platforms to analyze, test, integrate, and present technical results.

Full job description

GE Aerospace is hiring for the role of Data Science Intern!

Responsibilities of the Intern:

Be a part of 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 & document and communicate the results of technical data generated.

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.

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.