GE Aerospace Data Science Intern 2026: Eligibility, Skills, Stipend and Application Details
GE Aerospace is hiring a Data Science Intern for its Aviation Digital Technology business segment in Bengaluru, Karnataka. The internship is focused on data science, artificial intelligence, machine learning, and Generative AI applications across customer experience and commercial sales functions.
The role is intended for B.Tech and M.Tech students and provides an opportunity to work on exploratory Data Science projects under the guidance of senior team members. Candidates will contribute to the research, development, testing, and deployment of AI/ML and data-driven solutions.
GE Aerospace Data Science Intern – Overview
| Particular | Details |
|---|---|
| Company | GE Aerospace |
| Position | Data Science Intern |
| Job ID | R5040035 |
| Business Segment | Aviation Digital Technology |
| Category | Sales |
| Job Type | Co-op/Intern |
| Location | Bengaluru, Karnataka, India |
| Eligible Students | B.Tech 3rd/4th Year, M.Tech 1st/2nd Year |
| Preferred Stream | CS/IT with Data Science or AI specialization |
| Minimum Academic Requirement | 7 CGPA / 70% and above |
| Backlogs | No active backlogs |
| Key Skills | Python, Machine Learning, GenAI, Statistics |
| Cloud | Cloud platforms |
| Relocation Assistance | Yes |
| Full-Time Conversion | Not guaranteed |
About the GE Aerospace Data Science Internship
The Data Science Intern will join GE Aerospace’s Data Science & AI team and work under the guidance of senior team members.
The internship focuses on researching, developing, and implementing solutions involving:
- Artificial Intelligence
- Generative AI
- Machine Learning
- Deep Learning
- Statistical methods
- Probabilistic methods
- Operations research
- Semantic analysis
- Large Language Model applications
These technologies will be used to identify patterns, generate insights, and develop digital solutions from datasets associated with Customer Experience and Commercial Sales functions.
About the Bengaluru Technology Center
The role is based at GE Aerospace’s John F. Welch Technology Center (JFWTC) in Bengaluru.
According to the supplied job description, JFWTC was established in 2000 as a multidisciplinary research and engineering center. Engineers and scientists at the center have contributed to aviation patents and work involving areas such as engine technologies, advanced materials, and additive manufacturing.
Key Responsibilities
Work on Data Science Technologies
Interns will be part of development teams working with technologies and methods including:
- Generative AI
- Python
- Cloud platforms
- Statistics
- Machine learning
- Deep learning
Work With a Mentor
Each intern will work closely with an identified mentor on assigned projects.
Responsibilities can include:
- Analysis
- Design
- Testing
- Integration
The work should meet applicable business standards and programme or product requirements.
Document Technical Work
Interns will document technical data generated during their assigned projects in accordance with organizational policies and procedures.
Present Results
The role also involves preparing and presenting technical data and communicating the results generated from project work.
Strong communication is therefore relevant alongside technical knowledge.
Eligibility Criteria
The internship is open to students in specified years of B.Tech and M.Tech programmes.
B.Tech Students
Students currently pursuing:
- 3rd year B.Tech
- 4th year B.Tech
can be considered.
M.Tech Students
Students currently pursuing:
- 1st year M.Tech
- 2nd year M.Tech
can be considered.
Preferred Academic Background
Candidates should preferably be from a Computer Science or Information Technology stream, with a specialization in:
- Data Science
- Artificial Intelligence
The supplied description identifies this specialization as preferred.
Academic Requirements
Candidates must meet the following academic criteria:
- 7 CGPA or 70% and above
- No active backlogs
The posting does not specify whether the academic percentage is calculated using a particular semester, cumulative academic record, or another method.
No Objection Certificate
Candidates will need to submit a No Objection Certificate (NOC) from their college authorities before offer issuance.
Students considering applying should therefore check whether their institution can provide the required NOC if they are selected.
Technical Skills
Python
Strong Python programming skills are specifically highlighted in the desired characteristics.
Candidates should be comfortable using Python for data science and machine learning-related work.
Machine Learning
A strong understanding of machine learning is expected.
The broader role also provides exposure to deep learning and other AI/ML methods.
Generative AI
Generative AI is one of the technologies explicitly mentioned in the internship description.
Candidates interested in GenAI applications can highlight relevant academic projects or practical work where applicable.
Statistics
The role includes working with statistics, making statistical fundamentals relevant for candidates.
Cloud Platforms
Experience or exposure to cloud platforms can be relevant because cloud technologies are included among the data science technologies used by the team.
The posting does not specify particular cloud providers or services.
Other Areas of Exposure
The internship description also mentions potential work involving:
- Deep learning
- Probabilistic methods
- Operations research
- Semantic analysis
- Large Language Models
- Artificial Intelligence
The exact project assignment will depend on the requirements of the assigned team or project.
Desired Candidate Characteristics
GE Aerospace is looking for candidates who combine technical ability with curiosity, communication, and a willingness to learn.
Important characteristics include:
Technology Enthusiasm
Candidates should stay updated with current industry standards, software trends, and information technology development tools.
Communication
Good written and verbal communication skills are expected.
Learning Mindset
The description emphasizes being:
- Respectful
- Receptive
- Agile
- Eager to learn
Focus and Prioritization
Candidates should be quick learners who can strategically prioritize their work and remain committed to assigned responsibilities.
Leadership and Collaboration
Leadership ability, communication, decision-making, and collaboration are listed as desirable characteristics.
Problem-Solving
Candidates should demonstrate:
- Analytical thinking
- Critical thinking
- Problem-solving ability
- Willingness to challenge existing processes
Internship Location
The position is based in:
Bengaluru, Karnataka, India
GE Aerospace has also indicated relocation assistance: Yes for this opportunity.
The supplied job description does not provide specific relocation eligibility conditions or the extent of the assistance.
Stipend and Compensation
The supplied job description does not specify the internship stipend or compensation amount.
Candidates should refer to the official recruitment communication for compensation details if provided.
Full-Time Employment After Internship
This opportunity is specifically for an internship.
GE Aerospace clearly states that completion of the internship does not guarantee a full-time job offer.
Therefore, candidates should not treat the internship as an assured pathway to permanent employment.
Selection Process
The supplied job description does not provide a detailed selection process.
It does not specify whether applicants will have:
- Coding assessments
- Aptitude tests
- Technical interviews
- HR interviews
- Project discussions
- Multiple interview rounds
Candidates should refer to the official recruitment communication for the applicable hiring stages.
Important Points Before Applying
- Company: GE Aerospace
- Position: Data Science Intern
- Job ID: R5040035
- Location: Bengaluru, Karnataka
- Posted: September 16, 2026
- Job Type: Co-op/Intern
- B.Tech students in 3rd or 4th year can apply.
- M.Tech students in 1st or 2nd year can apply.
- CS/IT candidates are preferred.
- Data Science or AI specialization is preferred.
- Minimum 7 CGPA or 70% is required.
- Candidates must have no active backlogs.
- An NOC from the college must be submitted before offer issuance.
- Strong Python and machine learning skills are desirable.
- GenAI, statistics, cloud platforms, and deep learning are relevant areas.
- The internship is based in Bengaluru.
- Relocation assistance is listed as available.
- The stipend is not specified.
- Internship completion does not guarantee a full-time job offer.
- The detailed selection process is not specified.
Frequently Asked Questions
What is the GE Aerospace Data Science Intern position?
It is a Data Science internship within GE Aerospace’s Aviation Digital Technology organization, involving AI, Generative AI, machine learning, statistics, and related data science technologies.
Who can apply for this internship?
Students pursuing B.Tech in their 3rd or 4th year or M.Tech in their 1st or 2nd year can apply, subject to the other eligibility requirements.
Which branches are preferred?
Candidates from Computer Science or Information Technology are preferred, particularly those specializing in Data Science or Artificial Intelligence.
What is the minimum CGPA required?
Candidates need 7 CGPA or 70% and above.
Are active backlogs allowed?
No. The eligibility criteria require candidates to have no active backlogs.
Is an NOC required?
Yes. A No Objection Certificate from the college authorities must be submitted before offer issuance.
What technical skills are relevant?
Important areas include Python, machine learning, Generative AI, statistics, cloud platforms, and deep learning.
Where is the internship located?
The position is based at GE Aerospace’s John F. Welch Technology Center in Bengaluru, Karnataka.
Is relocation assistance available?
Yes. The posting states Relocation Assistance: Yes.
Is a full-time job guaranteed after the internship?
No. GE Aerospace explicitly states that the internship does not guarantee a full-time job offer.
What is the internship stipend?
The supplied job description does not mention the stipend amount.