GE Aerospace has opened applications for a Data Science Internship at its Bengaluru facility, offering engineering students an opportunity to gain hands-on experience in data science, machine learning, and advanced analytics within the aerospace domain. This internship is designed to support students who are pursuing technical education and want exposure to real-world data-driven problem solving in a global engineering organization.
The role is suitable for students with a strong academic foundation in computer science, information technology, data science, or artificial intelligence, and aims to bridge the gap between academic learning and industrial application.
About GE Aerospace
GE Aerospace is a global leader in aviation technology, specializing in jet engines, aircraft components, and integrated systems for both commercial and military aircraft. The company plays a critical role in shaping the future of flight by focusing on innovation, safety, and performance.
At the core of GE Aerospace’s culture is FLIGHT DECK, its proprietary lean operating model that emphasizes accountability, continuous improvement, and collaboration. The organization is committed to building inclusive teams and fostering an environment where individuals from diverse backgrounds can contribute meaningfully and grow professionally.
Employees and interns at GE Aerospace work in teams that value transparency, respect, and shared responsibility toward customers and engineering excellence.
Internship Role Overview
The Data Science Intern role focuses on exploratory and applied data science projects. Interns become part of a development team working on technologies such as:
- Statistics and data analysis
- Machine learning and deep learning
- Generative AI (GenAI)
- Data-driven digital solutions
The internship emphasizes learning through real project involvement rather than isolated academic exercises.
Key Responsibilities
Interns selected for this role will be involved in multiple aspects of data science project execution. Responsibilities typically include:
- Working as part of a data science development team
- Applying statistical methods, machine learning, deep learning, and GenAI techniques to real problems
- Collaborating closely with an assigned mentor for technical guidance
- Analyzing business or engineering problems and contributing to solution design
- Designing, testing, and integrating components that meet defined technical and quality standards
- Documenting technical data generated during project work in line with organizational policies
- Preparing and presenting technical findings, insights, and outcomes to relevant stakeholders
- Communicating results clearly through reports, presentations, and discussions
These responsibilities help interns develop both technical depth and professional communication skills.
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Eligibility and Qualifications
To be considered for this internship, candidates should meet the following criteria:
- Currently pursuing B.Tech (3rd or 4th year) or M.Tech (1st or 2nd year)
- Enrolled in Computer Science or Information Technology, with Data Science or AI specialization preferred
- Academic performance of 7 CGPA or 70% and above
- No active backlogs at the time of application
- Ability to provide a No Objection Certificate (NOC) from the college before offer issuance
These criteria ensure that interns have the academic foundation required to engage effectively with the technical work.
Desired Skills and Characteristics
While not all skills are mandatory, GE Aerospace looks for candidates who demonstrate the following qualities:
- Strong Python programming skills
- Good understanding of machine learning concepts
- Interest in staying updated with current industry tools and technologies
- Clear written and verbal communication skills
- Willingness to learn, adapt, and accept feedback
- Analytical mindset with problem-solving ability
- Ability to work collaboratively in a team environment
- Professional attitude marked by transparency, humility, and accountability
These characteristics align with GE Aerospace’s team-oriented and innovation-driven culture.
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Ideal Candidate Profile
This internship is aimed at students who are interested in applying data science techniques to real-world engineering and digital problems. The role is exploratory in nature and encourages curiosity, analytical thinking, and continuous learning.
Candidates who enjoy working with data, experimenting with models, and understanding how analytics can drive decision-making in large organizations may find this internship particularly valuable.
How to Apply
Interested candidates should ensure they meet the academic and eligibility criteria before applying. A well-prepared resume highlighting data science coursework, Python experience, machine learning projects, or academic research can strengthen the application.
Candidates should also be prepared to submit a college-issued NOC if shortlisted. Applications are typically reviewed based on academic performance, technical foundation, and alignment with the internship’s learning objectives.
To apply, click the application button below and submit your details as per the instructions provided.
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