Data Scientist in Advanced Analytics (m/w/d)

About Us

Let’s care for tomorrow

Are you passionate about data and want to make a real impact with your ideas at one of the largest insurance companies in Germany?

As a Data Scientist, you will have the opportunity to answer exciting and relevant questions using a unique pool of insurance and health data in the German market and to integrate models developed by you into ongoing business processes. For this, we offer you a team of highly qualified and collaborative colleagues and we will both support and challenge you in your further development.

Become part of Allianz Privaten Krankenversicherungs AG – and shape the future with us in a dynamic growth market.

What awaits you as a Data Scientist in Advanced Analytics (m/f/d)

• Problem Solving & Strategy: You translate a business-relevant question into a statistical problem and identify the right framework for it.
• Data Engineering: You locate and combine data sources and transform large datasets for in-depth analysis.
• Modeling: You develop statistical and machine learning models and/or AI agents that automate decisions, and integrate them into our core processes and systems.
• Communication: You interpret, visualize, and communicate your results understandably to top management, to business colleagues (m/f/d), and to Data Scientists (m/f/d) within APKV and beyond.
• Cross-hierarchical Work: You work closely with APKV colleagues (m/f/d) from administration to management and understand the processes fully.
• Innovation: You recognize solutions and opportunities that others do not see, and proactively drive them forward with your team.

What you bring as a Data Scientist in Advanced Analytics (m/f/d)

• Background: You hold a university degree in statistics, mathematics, economics, computer science, engineering, physics, or a comparable discipline.
• Expertise: You have a deep understanding of the mathematical and statistical concepts behind the most common machine learning methods (e.g., linear models, decision trees, ensemble methods like Bagging and Boosting).
• You have a sound understanding of modern LLMs and Multi-Agent Architectures, including Prompt Engineering, Retrieval Augmented Generation (RAG).
• Practical Experience: You routinely program in Python (numpy, scipy, pandas, polars, matplotlib, scikit-learn) and SQL, develop modular, maintainable code and your own packages, and are proficient in handling tabular data across the entire pipeline – from exploration and feature engineering to modeling.
• You have experience working with GenAI and can translate strategic process requirements into scalable end-to-end agentic architectures.
• Technical Skills: You use Git, write automated tests, and are proficient in using CI/CD pipelines.
• Ideally, you have experience using cloud infrastructure.
• Work Style (optional): You have already worked in agile and cross-functional teams.
• Language Skills: German C2, English C1

Start Date: As soon as possible

Apply Now

Have we sparked your interest and does this sound like an environment where you would like to work?

Then apply now as a Data Scientist in Advanced Analytics (m/f/d) online via the internal job market.

For technical questions, please contact Yayun Zhou at yayun.zhou@allianz.com, and for HR questions, your HRBP Rubina Förster at rubina.foerster@allianz.de.