GE Aerospace is Hiring Data Science Intern | Fresher |50k/month

Role Overview
As a Data Science Intern, you will join a collaborative development team to work on cutting-edge projects in statistics, machine learning, deep learning, and Generative AI. You will work under the guidance of an experienced mentor, contributing to digital solutions and exploratory projects that address real-world problems.

Key Responsibilities

• Collaborate with mentors to design, test, and integrate Data Science components
• Apply statistical, machine learning, and deep learning techniques to assigned projects
• Document technical work according to company standards
• Present results and technical findings effectively

Eligibility Criteria

• Students pursuing B.Tech (3rd or 4th Year) or M.Tech (1st or 2nd Year)
• Specialization in Computer Science, Information Technology, Data Science, or Artificial Intelligence (preferred)
• Minimum 7 CGPA or 70% with no active backlogs
• NOC from college before offer issuance

Desired Skills and Attributes

• Strong programming skills in Python
• Knowledge of machine learning, deep learning, and GenAI
• Up-to-date with industry trends and tools
• Strong analytical, problem-solving, and communication skills
• Collaborative, humble, and eager to learn

Education Requirement
B.Tech / M.Tech in Computer Science, Information Technology, Data Science, or Artificial Intelligence

Technical Skills Required
Python, Machine Learning, Deep Learning, Generative AI, Statistics, Data Analysis, Model Deployment, Data Visualization

Note
This is an internship position and does not guarantee a full-time job offer. GE Aerospace is an Equal Opportunity Employer.

Why Join Us
At GE Aerospace, you will be part of an innovative culture that values collaboration, learning, and professional growth. You will gain hands-on experience with real-world Data Science applications in aerospace, work alongside industry experts, and contribute to pioneering technologies shaping the future of flight. This internship offers an opportunity to develop skills, expand your network, and work on impactful projects in a global organization.