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GE Aerospace
EngineeringNew🎯 Internship

Data Science Intern at GE Aerospace

GE Aerospace
7 hours ago
Location

Bengaluru

Salary

Competitive

Apply By

ASAP

Views

5

Eligible Batches

🎓 2026 Batch

Job Description

Join GE Aerospace as a Data Science Intern and leverage your skills in machine learning and statistical modeling to shape the future of aerospace engineering. Gain hands-on experience with cutting-edge technologies and work with a dynamic team of experts.

Roles & Responsibilities

Develop and implement data-driven solutions to complex aerospace engineering problems Collaborate with cross-functional teams to design and optimize data management systems Analyze and interpret large datasets to identify trends and insights that inform business decisions

Requirements

Bachelor's degree in Computer Science, Mathematics, or a related field Experience with machine learning algorithms and statistical modeling techniques Proficiency in programming languages such as Python and R Strong analytical and problem-solving skills

Nice to Have

Good understanding of technology stack like Python, R etc. Up-to-date with current industry trends

Eligibility Criteria

Batch of 2026

Tech Stack & Ecosystem

Data ScienceMachine LearningDeep LearningGenAIPythonStatistics

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Quick Info

TypeInternship
RoleSDE
Work Mode🏢 On-site
Eligible Batches
2026

Tech Stack

Data ScienceMachine LearningDeep LearningGenAIPythonStatistics

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Career Advice

Company Insights

Working as a Data Science Intern at GE Aerospace offers a unique opportunity to contribute to the development of cutting-edge aerospace technologies. As a member of the GE Aerospace team, you'll have access to state-of-the-art facilities and collaborative workspaces, where you'll engage with fellow innovators and thought leaders in the field. By joining GE Aerospace, you'll gain invaluable experience working with a global organization that's shaping the future of aviation and space exploration.

Interview Guide

To stand out in your Data Science Intern interview at GE Aerospace, emphasize your hands-on experience with machine learning and statistical modeling techniques. Be prepared to walk the interviewer through a specific project where you applied your skills to drive business insights, and be ready to discuss the challenges you faced and how you overcame them. Additionally, highlight any certifications or training programs you've completed in data science or related fields, as GE Aerospace places a high value on continuous learning and professional development.