About the role
HOW TO APPLY: Apply through the GE Aerospace official careers page. GE Aerospace is hiring Data Science Interns for its Aviation Digital Technology business segment in Bengaluru. The intern will work… Subscribe to Premium to view the full description and apply.
Responsibilities
- Work as part of a development team on Data Science technologies including GenAI, Python, cloud platforms, statistics, machine learning, and deep learning.
- Work closely with an assigned mentor on allocated projects.
- Analyze, design, test, and integrate components according to business standards and program or product requirements.
- Document technical data generated by assigned projects according to organizational policies and procedures.
- Prepare and present technical data and communicate project results.
Requirements
- Currently pursuing B.Tech in 3rd or 4th year or M.Tech in 1st or 2nd year.
- Should be from a reputed institute.
- CS/IT stream is required, with Data Science or AI specialization preferred.
- Minimum 7 CGPA or 70% marks.
- No active backlogs.
- NOC from college authorities must be submitted before offer issuance.
Benefits
- Opportunity to work on exploratory Data Science projects
- Mentorship from senior team members
- Exposure to AI, GenAI, machine learning, deep learning, statistics, and cloud platforms
- Opportunity to contribute to digital solutions in the aerospace industry
Required Skills
Frequently Asked Questions
What is the salary for Data Science Intern?
The listed salary for Data Science Intern at GE Aerospace is ₹30,000–₹35,000/month.
Where is this Data Science Intern role located?
This position is based in Bengaluru, Karnataka, India (On-site).
What experience is required for Data Science Intern?
Candidates are expected to have Fresher / Student of experience for this role.
How do I apply for Data Science Intern at GE Aerospace?
Use the Apply button on this HireDoor job page to submit your application for Data Science Intern at GE Aerospace.
What are the key benefits for Data Science Intern?
Key benefits include: Opportunity to work on exploratory Data Science projects; Mentorship from senior team members; Exposure to AI, GenAI, machine learning, deep learning, statistics, and cloud platforms; Opportunity to contribute to digital solutions in the aerospace industry.
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