GE Aerospace Internship 2026 | Data Science Intern | Bengaluru — Apply Now
GE Aerospace Internship 2026 for Data Science Intern is now open! GE Aerospace, one of the world’s most iconic aviation companies, is actively seeking talented engineering students to join its prestigious John F. Welch Technology Center (JFWTC) in Bengaluru. This is a rare opportunity for B.Tech and M.Tech students with a passion for Data Science, Machine Learning, and GenAI to contribute to cutting-edge aerospace digital solutions. If you have strong Python programming skills, maintain a 7+ CGPA, and are currently in your 3rd or 4th year of B.Tech (or 1st or 2nd year of M.Tech) in CS or IT, read on to learn how to apply.
About GE Aerospace
GE Aerospace is a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft, with a heritage spanning more than a century of aviation innovation. Headquartered in Cincinnati, Ohio, GE Aerospace employs over 50,000 engineers and technologists across the globe, including a large and growing workforce in India. The John F. Welch Technology Center (JFWTC) in Bengaluru, established in the year 2000, is GE Aerospace’s flagship multidisciplinary research and engineering centre in India, and its engineers have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Working at JFWTC means working at the very cutting edge of aerospace technology alongside some of the sharpest engineering minds in the world.
GE Aerospace Internship Details:
Role: Data Science Intern
Job ID: R5032952
Location: Bengaluru, Karnataka, India
Eligibility: BTech (3rd/4th Year) or MTech (1st/2nd Year) — CS/IT stream preferred
Batch: 2026 / 2027 Graduating Students
Experience: Students (No Prior Work Experience Required)
Role Overview
As a Data Science Intern at GE Aerospace’s JFWTC Bengaluru, you will be embedded in an active development team working on exploratory projects in Data Science and contributing to real digital solutions that address business problems in the aerospace domain. You will work closely with a dedicated mentor who will guide you through your allocated project, helping you apply techniques from statistics, machine learning, deep learning, and Generative AI to build and validate intelligent systems. This is not a passive learning role — you will be expected to analyze, design, test, and integrate components, document your work, and present findings to technical stakeholders.
Essential Responsibilities
- Be a part of development team to work on Data Science technologies (statistics, machine learning, deep learning, GenAI)
- 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.
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.
Selection Process
The GE Aerospace Internship 2026 typically follows a structured selection process designed to assess both technical and behavioural competencies:
Round 1 – Online Application Screening: Your application, resume, and academic credentials are reviewed to shortlist candidates who meet the eligibility criteria, including CGPA and branch requirements.
Round 2 – Technical Interview: Shortlisted candidates participate in a technical interview covering Python programming, machine learning fundamentals, data structures, and problem-solving. Candidates with a Data Science or AI specialization are given preference.
Round 3 – HR / Fit Interview: A final interaction with the HR team to assess cultural fit, communication skills, and alignment with GE Aerospace’s core values of being humble, transparent, focused, and collaborative.
How to Apply for GE Aerospace Internship
- Click the “Apply Now” button below to visit the official GE Aerospace careers page.
- Create a candidate profile or log in to an existing account on the GE Aerospace careers portal.
- Fill in the application form with accurate details about your academic background, branch, CGPA, and current year of study.
- Upload your most recent resume in PDF format, ensuring it clearly highlights your Python, ML, and data science skills.
- Submit your application and note the Job ID (R5032952) for your reference.
- Ensure you have your college NOC ready, as it will be required before the offer is issued.
Application Link: Apply Now
Note: Apply the job before link Expires
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