GE Aerospace Internship 2026 | Data Science Intern | Bengaluru — Apply Now: GE Aerospace Internship 2026 hiring is now open for the Data Science Intern role at the John F. Welch Technology Center (JFWTC), Bengaluru. The opportunity is listed under Job ID R5039463 and is designed for students pursuing B.Tech or M.Tech in Computer Science or Information Technology.
Candidates must meet the academic eligibility criteria of 7 CGPA or 70% and above and should have no active backlogs. The role offers students an opportunity to work on artificial intelligence, machine learning, GenAI, Python, statistics, and other data science technologies under the guidance of experienced mentors.
Importantly, GE Aerospace clearly states that this internship does not guarantee a full-time job offer. Students will also need to provide an NOC from their college before an offer can be issued.
GE Aerospace Internship 2026 is a valuable opportunity for CS and IT students interested in Data Science and Artificial Intelligence. The internship provides exposure to Python, GenAI, machine learning, deep learning, statistics, cloud platforms, and data science technologies while allowing interns to work with mentors on exploratory projects. However, students should note that GE Aerospace explicitly states that the internship does not guarantee a full-time offer, making the experience and project exposure the primary benefits of the opportunity.
| Particulars | Details |
|---|---|
| Company | GE Aerospace |
| Role | Data Science Intern |
| Job ID | R5039463 |
| Location | Bengaluru, Karnataka |
| Work Location | John F. Welch Technology Center |
| Business Segment | Aviation Digital Technology |
| Eligible Education | B.Tech / M.Tech |
| Eligible Years | B.Tech 3rd & 4th Year; M.Tech 1st & 2nd Year |
| Eligible Streams | Computer Science / Information Technology |
| Preferred Specialisation | Data Science / AI |
| Academic Requirement | 7 CGPA or 70% and above |
| Backlogs | No active backlogs |
| NOC | Required before offer issuance |
| Stipend | Not Disclosed |
| Full-Time Offer | Not Guaranteed |
| Posted On | 3 September 2026 |
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GE Aerospace is a major aerospace company focused on aircraft engines, components, and integrated systems for commercial and military aviation.
The internship is based at the John F. Welch Technology Center in Bengaluru, which serves as a multidisciplinary research and engineering centre. The centre brings together engineers and scientists working across different areas of aerospace technology.
For Data Science and AI students, working in an aviation-focused technology environment can provide exposure to complex, data-intensive problems and applications of AI beyond typical consumer or generic analytics projects.
The Data Science Intern position is part of GE Aerospace’s Aviation Digital Technology business segment and is based at the John F. Welch Technology Center in Bengaluru.
Interns will work as part of a Data Science and AI team to research, develop, and implement artificial intelligence solutions across different areas of the organisation.
The work can involve areas such as:
- Machine learning
- Artificial intelligence
- Generative AI
- Statistical methods
- Probabilistic methods
- Operations research
- Semantic analysis
- Deep learning
- Python
- Cloud platforms
The role is particularly suited to students who enjoy solving problems using data and are interested in applying AI technologies to real-world business and engineering problems.
As a Data Science Intern, candidates may be expected to:
- Work as part of a development team on data science technologies.
- Work with GenAI, Python, cloud platforms, statistics, machine learning, and deep learning.
- Collaborate closely with an assigned mentor on allocated projects.
- Analyse, design, test, and integrate components according to business and programme requirements.
- Work on exploratory data science and AI projects based on identified problems.
- Document technical data and project-related results according to organisational policies.
- Prepare and present technical findings and results.
- Communicate project outcomes effectively to relevant stakeholders.
The internship therefore combines technical development, research, experimentation, documentation, and communication rather than focusing only on coding.
Students applying for this opportunity should have a strong foundation in:
- Python programming
- Machine learning
- Data Science
- Artificial Intelligence
- Statistics
- Deep learning
- Generative AI
- Problem-solving
- Data analysis
- Technical communication
The role also mentions cloud platforms and other data science technologies, so familiarity with cloud-based AI or data workflows can be useful.
Candidates should carefully check the academic requirements before applying.
The opportunity is open to:
- B.Tech 3rd-year students
- B.Tech 4th-year students
- M.Tech 1st-year students
- M.Tech 2nd-year students
- 7 CGPA or 70% and above
- No active backlogs
Candidates should belong to:
- Computer Science
- Information Technology
Students with a specialisation in Data Science or Artificial Intelligence are preferred.
College NOC Requirement
An important requirement is the No Objection Certificate (NOC) from the candidate’s college.
GE Aerospace requires the NOC to be submitted before an offer can be issued. Therefore, eligible students should understand their college’s NOC process and start the procedure early if required.
Candidates should nevertheless be prepared for stages such as:
- Application and resume screening.
- Academic eligibility verification.
- Technical discussion or assessment.
- Data Science and Machine Learning questions.
- Project-based discussion.
- Communication or behavioural discussion.
The exact number and format of rounds may vary depending on the hiring process.
Documents Required for the GE Aerospace Internship
- Updated resume.
- Academic details.
- Current year/semester information.
- CGPA or percentage details.
- Data Science/AI project information.
- Relevant certificates, if applicable.
- College NOC, as required before offer issuance.
Students should also ensure that their resume clearly mentions their current year of study, academic performance, technical skills, and relevant projects.
GE Aerospace has not disclosed a specific stipend amount for the Data Science Internship 2026 listing. Therefore, candidates should confirm the compensation details directly with the recruiter rather than relying on unofficial figures.
The major benefit of the internship is the opportunity to gain practical exposure to AI, GenAI, machine learning, Python, statistics, cloud technologies, and exploratory data science projects while working with an identified mentor. The experience can also provide valuable project exposure for students building careers in Data Science and AI.
Applications are submitted online:
- Click the Apply link below and visit the GE Aerospace careers portal.
- Review the eligibility criteria carefully.
- Create or log in to your candidate profile.
- Update your academic and personal information.
- Upload your latest resume
- Clearly mention your CGPA/percentage and current year of study.
- Highlight relevant Python, Machine Learning, AI, GenAI, and Data Science projects.
- Submit the application.
- Start preparing the required college NOC process, since it is required before an offer can be issued.
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- Strengthen Python: Revise Python fundamentals, data structures, functions, OOP, NumPy, and Pandas.
- Revise Machine Learning: Prepare supervised and unsupervised learning, regression, classification, model evaluation, overfitting, and feature engineering.
- Focus on Statistics: Cover probability, distributions, mean, variance, correlation, regression, and hypothesis testing.
- Learn GenAI Basics: Understand LLMs, prompt engineering, embeddings, RAG, and practical GenAI use cases.
- Prepare Your Projects: Be ready to explain at least one Data Science or AI project, including the problem, dataset, approach, model, results, and improvements.
- Understand Cloud & AI Applications: Review basic cloud concepts and how machine learning or AI solutions can be deployed and used in real-world applications.
- Practise Communication: Prepare to clearly explain your technical findings, model results, and problem-solving approach to both technical and non-technical interviewers.
1. Who is eligible for the GE Aerospace Data Science Internship 2026?
The internship is open to B.Tech 3rd/4th-year and M.Tech 1st/2nd-year students from Computer Science or Information Technology. Data Science or AI specialisation is preferred.
2. What is the academic requirement?
Candidates must have 7 CGPA or 70% and above and should have no active backlogs.
3. Is a college NOC required?
Yes. GE Aerospace requires an NOC from the college authorities before an offer can be issued.
4. Does the GE Aerospace internship guarantee a full-time job?
No. GE Aerospace explicitly states that the internship does not guarantee a full-time job offer.
5. What is the stipend for the internship?
The stipend has not been disclosed in the provided job listing. Candidates should confirm compensation details with the recruiter.
6. What skills should I prepare for the internship?
Focus on Python, Machine Learning, Data Science, Statistics, GenAI, Deep Learning, AI fundamentals, and technical communication. You should also be prepared to explain at least one data science or AI project in detail.