GE Aviation Internship 2023 Freshers For DT Intern

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GE Aviation Internship 2023 FOr its DI Intern, GE Aviation Drive is organizing Off Campus Drive for candidates in Any BAtch. in order to apply, candidates should have degree in Students of Bachelors in engineering. if you are interested, Please apply as soon as possible.

Company Name: GE Aviation

Role: DT Intern

Location: Bangalore

Experience: Freshers

Qualification: Students of Bachelors in engineering

Batch: Any BAtch

Job Type: Full Time

Salary: Rs. 5.8 LPA (Expected)

GE Aviation Internship 2023

Job Description:

This internship opening is to enable students to work on exploratory work to contribute to digital solutions based on the specific identified problem.

Requirements:

  • Students of Bachelors in engineering, (Computer Science/Information Technology/Data Science) from reputed institutes

Desired Characteristics:

  • Technology enthusiast. Passion/aptitude for both software and information technology. Up to date with current industry standards, trending software and information technology development tools.
  • Strong in software programming, data analytics & data engineering
  • Strong communication and documentation ability
  • Leadership experience inside and/or outside the classroom. Extra initiatives/engagements in student organizations is a plus
  • Communicative & open- minded. Good written and verbal communication skills

Responsibility:

  • Be a part of the Data Science team, responsible to work on data science projects under the supervision of senior team members and deliver business outcomes.
  • Develop data science models to address cost productivity, engineering and engine fleet management teams’ needs and opportunities.
  • Work alongside software developers and software engineers to translate algorithms into viable products and services.
  • Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
  • Perform exploratory and targeted data analysis using descriptive statistics and other methods.
  • Work with data engineers on data quality assessment, data cleansing and data analytics.
  • Generate reports, annotated code, and other projects artifacts to document, archive, and communicate the work and outcomes.
  • Share and discuss findings with team members.

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