Köln: Working Student (d/f/m) Data Science & AI Projects

Shape Your Future With Us

General Re Corporation, a subsidiary of Berkshire Hathaway Inc. is a holding company for global reinsurance and related operations, with more than 2,000 employees worldwide. It owns General Reinsurance Corporation and General Reinsurance AG, which conducts business as Gen Re.

Gen Re delivers reinsurance solutions to the Life/Health and Property/Casualty insurance industries. Represented in all major reinsurance markets through a network of 37 offices, we have earned superior financial strength ratings from each of the major rating agencies. We value diversity, equality and inclusion and promote a culture that supports professional and personal growth.

We are currently seeking a Working Student (d/m/w) in Data Science & AI Projects to join our Property & Casualty (P&C) International Operations team in Cologne starting in April 2026. The role is initially planned for one year, and we are keen to continue the collaboration beyond this period. While a full-year availability is preferred, candidates who can commit to at least six months are still encouraged to apply. The position requires a weekly working commitment of 19 hours.

Your Role

You will work closely with our AI Development and Analytics team and contribute to Data Science & AI projects across our Property & Casualty (P&C) business. From exploring data and defining problems to developing models and implementing solutions, you will be part of the full analytics lifecycle. Your tasks will include:

• Loading, cleaning, transforming, and exploring data to gain meaningful insights and build a solid understanding of the underlying issues.
• Building reproducible data pipelines that make analyses efficient, transparent, and easy to iterate on.
• Applying statistical methods such as GLMs as well as modern machine learning and AI techniques to help solve business problems.
• Developing and implementing generative AI use cases including prompt engineering and light fine‑tuning to support decision-making and boost efficiency.
• Using in‑code AI tools and agents to automate workflows and enhance data applications.
• Creating clear and engaging visualizations to help teams and stakeholders understand results.
• Writing functions and packages that automate recurring tasks, standardize processes, and contribute to scalable solutions.
• Helping communicate findings in various formats, ensuring results are accessible and actionable.

As part of these projects, you will work with real datasets and gain hands‑on experience in Advanced Analytics, Data Science, and AI within a global reinsurance environment.

Your Profile

• You are enrolled in an advanced Bachelor’s or Master’s degree program in mathematics, computer science, economics, finance, natural sciences or a related field.
• Good knowledge of R is essential; experience with packages such as tidyverse, data.table, httr2, shiny, targets or similar tools is a plus.
• A strong interest in learning new methods and technologies drives you, and you enjoy approaching challenges with analytical thinking and pragmatic problem‑solving skills.
• You bring a basic understanding of AI concepts – for example LLMs, prompt engineering, chaining techniques, or structured outputs.
• Experience with tools like git, SQL, Quarto, typst, bash, or Python is an advantage, but not required.
• Collaboration comes naturally to you: you communicate clearly, adapt quickly, and enjoy working in a team environment.
• You have a very good to fluent command of English, as much of the work will be conducted in an international setting.

We offer you

• An attractive hourly salary starting at 19.50, plus vacation and Christmas bonuses.
• An international and highly professional work environment in the heart of Cologne, with flexible working hours and the option to work from home – ensuring excellent compatibility with your studies.
• A welcoming and open team culture, including a dedicated learning space, regular company events, and a WhatsApp group that helps you connect quickly and easily.
• Additional benefits, such as an on‑site canteen with a rooftop terrace and cathedral views, free beverages (water, tea, coffee), the Deutschlandticket, underground parking spaces, an employee support hotline, a corporate benefits program, and various health offerings.

Does this sound exciting?
If you want to shape your future with us, we look forward to receiving your complete application including your earliest starting date. 

Contact
Olivia Schalesi (HR Business Partner), Tel. +49 221 9738 319

Our Address

General Reinsurance AG
Theodor-Heuss-Ring 11
50668 Cologne (Germany)