WHO WE ARE

We are Xempus, Germany´s leading independent Software-as-Service (SaaS) platform for the management and distribution of pension, life and health insurance. Our mission: making pension, life and health insurance digital and understandable, efficient and accessible for everyone. Since 2007, we have been constantly working to drive the digitalization of the insurance industry. Here at Xempus, we believe that together we can make a difference – no matter where we are! Whether from one of our offices or from home – join us and together we create a more secure future for everyone!

ABOUT US

At XEMPUS, +180 people work on a very special vision: We make the future plannable. We have been shaping the digital transformation in the insurance industry since 2007. We know what our successful future depends on: our team, the people behind the name XEMPUS.
We have ambitious goals. To achieve those goals, we need you!
We are an equal opportunity employer and ensure that no applicant is subject to less favourable treatment on the grounds of gender, gender identity, marital status, race, colour, nationality, ethnicity, age, sexual orientation, socio-economic, responsibilities for dependants, physical or mental disability. Any hiring decision are made on the basis of skills, qualifications and experiences.

We are seeking a talented and experienced Senior Data Scientist to join our dynamic team. In this role, you will lead the development of advanced machine learning models that drive personalized insurance product recommendations and optimize consultation processes for our agents as well as automate administrative processes related to user activity. You will work closely with data engineering, analytics, and product teams to ensure the creation of impactful solutions, collaborating on deployment and integration with a focus on model performance and continuous improvement.

Key Responsibilities:

• Design, develop, and refine sophisticated machine learning models and data models to address business challenges
• Perform exploratory data analysis (EDA) and feature engineering to extract meaningful insights and improve model accuracy
• Collaborate with data engineering and software engineering teams to ensure models are effectively deployed into production environments, providing guidance and support on integration and testing
• Monitor model performance and data quality, analyzing feedback to identify opportunities for refinement and optimization
• Communicate complex analysis and model results clearly to stakeholders, providing insights to support strategic decision-making
• Contribute to the development of automated workflows for data preprocessing and model retraining, ensuring models stay relevant over time