(Senior) Data Science Analyst (gn)

You analyze complex datasets from P&C and Life insurance to uncover insights that drive reserving, pricing, and risk strategies

You develop and apply advanced analytics and machine learning models to enhance actuarial processes from claims forecasting to lapse modeling and customer segmentation

You support the automation and further development of reserving and reporting tools, helping to streamline workflows and improve efficiency across teams

You act as a bridge between data science and actuarial work collaborating with actuaries, data engineers, and business stakeholders to integrate innovative methods and ensure regulatory alignment

You contribute to classic actuarial tasks such as reserve calculations and data validation (depending on your background) and help foster a data-driven culture by promoting best practices in analytics and automation

You have successfully completed your studies in actuarial science, mathematics, statistics, data science or a related quantitative field. Ideally, you have already started or are planning to pursue an actuarial qualification (e.g. DAV or an international equivalent)

You bring relevant experience from the insurance industry – preferably within P&C (e.g. reserving, claims, underwriting), though a background in Life insurance is equally appreciated

Your solid grasp of actuarial principles is complemented by a strong analytical mindset and a genuine interest in applying advanced data analytics to solve real-world insurance challenges

You are proficient in Python and/or R and ideally have some experience with tools like SQL or Power BI

You enjoy working in collaborative, cross-functional teams and are known for your structured approach, attention to detail and ability to remain focused under pressure

You communicate fluently in English, both written and spoken. Additional language skills, especially in German, are a welcome bonus

An innovative, well-known, respected, international company

First-class development opportunities as well as prospects for your own career; an exciting and varied job in cooperation with qualified and specialized colleagues from all over the world

A high degree of independence and personal responsibility combined with plenty of room to contribute and implement   your skill

A competitive compensation and benefits package, including a generous bonus program, company health insurance and company pension plan

Modern, bright office space, the opportunity to work on the  move, a 38-hour week, flexible working hours and 30 days vacation 

Work-life-balance oriented mindset

Bicycle leasing, versatile insurance and health offer and an excellent canteen