Jobs Companies GE Aerospace Data Science Intern

About this Data Science Intern role at GE Aerospace

GE Aerospace · Onsite · Bengaluru

Job Description Summary

The Data Science Intern will work in a team to research, develop and implement Artificial Intelligence based solutions across various disciplines in GE Aerospace under the guidance of senior team members. In this role, as part of the Data Science & AI team, the candidate will contribute to the development and deployment of modern machine learning, artificial intelligence, statistical & probabilistic methods, operations research, semantic analysis etc. for finding structure in data sets within the Corporate Functions of GE Aerospace.

Job Description

 Site Overview

Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing.

 

Essential Responsibilities

  • Be a part of development team to work on Data Science technologies (GenAI, Python, cloud platformsstatistics, machine learning, deep learning)
  • Work closely with an identified mentor on allocated projects. Analyze, design, test and integrate components, that meet business standards and program / product requirements.
  • Document technical data generated by the assigned project consistent with organization policies and procedures.
  • Prepare and present technical data & document and communicate the results of technical data generated.

 

Ideal Candidate:

This internship opening is to enable students to work on exploratory projects in Data Science and to contribute to digital solutions based on the identified problems.

 

Qualifications/Requirements:

  • Students of B. Tech [3rd Year or 4th Year] or M. Tech [1st Year or 2nd Year] from reputed institutes
  • Candidate has to be from CS/IT stream with Data Science or AI Specialization (preferred)
  • Eligibility Criteria:  7 CGPA/ 70 Percentage & above (with no active backlogs)
  • NOC from college authorities to be submitted before offer issuance.

 

Desired Characteristics

  • Technology enthusiast. Up to date with current industry standards, trending software and information technology development tools.
  • Strong in python programming and machine learning
  • Good written and verbal communication skills
  • Humble: respectful, receptive, agile, eager to learn
  • Transparent: shares critical information, speaks with candor, contributes constructively
  • Focused: quick learner, strategically prioritizes work, committed
  • Leadership ability: strong communicator, decision-maker, collaborative
  • Problem solver: analytical-minded, challenges existing processes, critical thinker.

 

Note: This is only for internship and does not guarantee a full-time job offer.

 

At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.

 

Additional Information

Relocation Assistance Provided: No

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About GE Aerospace

At GE Aerospace, we invent the future of flight, lift people up, and bring them home safely. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. At GE Aerospace, respect for people is core to our culture and commitment to FLIGHT DECK, our proprietary lean operating model. We attract, develop, and retain industry-leading talent from all backgrounds and cultivate communities where people are respected and empowered to reach their fullest potential. For the people of GE Aerospace, their work isn't just a job. It's their passion and purpose. We work and win as one team, accountable to each other and our customers, and we are al

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