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Internship Data Science & Applied AI in Insurance(m/w/x)
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
- English – Business 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
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Internship Data Science & Applied AI in Insurance(m/w/x)
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
- English – Business 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
About the Company
General Re Corporation
Industry
Insurance
Description
The company delivers reinsurance solutions to the Life/Health and Property/Casualty insurance industries.
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- BarmeniaGothaer AG
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