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GEGeneral Re Corporation

Internship Data Science & Applied AI in Insurance(m/w/x)

Köln
Full-timeInternshipWith Home Office
AI/ML
Data Science

Data loading, cleaning, and interactive visualization for Life/Health and Property/Casualty reinsurance at global reinsurance operations. Advanced bachelor's or master's degree enrollment required, R packages experience a plus. Dedicated learning space, on-site canteen with rooftop terrace, flexible hours.

Requirements

  • Enrollment in advanced bachelor’s or master’s degree in mathematics, computer science, economics, finance, natural sciences, or similar field
  • Good knowledge of programming language R
  • Experience with R packages (tidyverse, data.table, shiny, targets, ellmer, xgboost or similar) (advantage)
  • Keen interest in learning new techniques and methods
  • Analytical thinking
  • Ability to find pragmatic solutions
  • Initial experience in data analysis and statistical methods (ideally beyond linear regression) (beneficial)
  • Programmatic use of AI models (beneficial)
  • Experience with git, SQL, Quarto, bash or Python (advantage)
  • Flexibility
  • Communicative skills
  • Enjoyment of teamwork
  • Very good command of English

Tasks

  • Load and clean data.
  • Identify key data features.
  • Generate autonomous data summaries.
  • Conduct exploratory data analysis (EDA).
  • Create interactive and dynamic visualizations.
  • Build and maintain reliable, reproducible data pipelines.
  • Develop and implement generative AI use cases.
  • Apply prompt engineering techniques.
  • Fine-tune AI models.
  • Use in-code AI tools for data applications.
  • Automate processes with AI agents.
  • Improve workflows using AI tools.
  • Contribute to developing AI-driven functions.
  • Contribute to developing AI-driven packages.
  • Support the team in preparing results in various formats.
  • Support the team in presenting results in various formats.

Education

  • Currently in higher education

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • R
  • tidyverse
  • data.table
  • shiny
  • targets
  • ellmer
  • xgboost
  • AI models
  • git
  • SQL
  • Quarto
  • bash
  • Python

Benefits

Flexible Working

  • Flexible working hours

Learning & Development

  • Dedicated learning space

Team Events

  • Regular company events

Other Benefits

  • WhatsApp group

Free or Subsidized Food

  • On-site canteen with rooftop terrace

Snacks & Drinks

  • Free beverages

Public Transport Subsidies

  • Deutschlandticket

Parking & Commuter Benefits

  • Underground parking spaces

Mental Health Support

  • Employee support hotline

Corporate Discounts

  • Corporate benefits program

Healthcare & Fitness

  • Various health offerings
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of General Re Corporation and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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