Wissenschaftlicher Mitarbeiter-Jobs in Deutschland

We are Xempus, Germany's leading independent Software-as-a-Service (SaaS) platform for managing and distributing pension, life, and health insurance. Our mission is to make these insurances digital, understandable, efficient, and accessible for everyone. Since 2007, we've been driving digital transformation in the insurance industry. Join us from our offices or from home as we work together to create a more secure future for all!

We are seeking a talented and experienced Senior Data Scientist to lead the development of advanced machine learning models. Your work will focus on personalized insurance product recommendations, optimizing consultation processes for our agents, and automating administrative tasks related to user activity. You will collaborate closely with data engineering, analytics, and product teams to deploy impactful solutions, emphasizing model performance and continuous improvement.

1. Design, develop, and refine machine learning and data models to solve business challenges.
2. Conduct exploratory data analysis (EDA) and feature engineering to extract insights and enhance model accuracy.
3. Work with data and software engineering teams to deploy models into production, ensuring effective integration and testing.
4. Monitor model performance and data quality, and analyze feedback for improvements.
5. Communicate complex analysis and results clearly to stakeholders to support strategic decisions.
6. Develop automated workflows for data preprocessing and model retraining to maintain relevance over time.

• Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Statistics, or related fields.
• 7+ years of experience in data science or analytics, with a focus on model development.
• Proficiency in Python and experience with frameworks like Scikit-learn, TensorFlow, or PyTorch.
• Experience with version control systems such as git.
• Knowledge of data quality tools and testing frameworks (e.g., Great Expectations, pytest).
• Strong SQL skills for data querying and analysis.
• Experience in developing machine learning models for recommendations and process optimization.
• Experience managing machine learning pipelines.
• Proficiency in EDA and feature engineering.
• Experience with data visualization tools like Tableau.
• Knowledge of NLP techniques and libraries.
• Strong understanding of statistical analysis, algorithms, and data modeling.
• Knowledge of model evaluation, validation, and performance monitoring best practices.
• Excellent analytical, problem-solving, and communication skills, especially in explaining technical results to non-technical stakeholders.

• Experience with big data tools like Apache Spark (PySpark).
• Familiarity with cloud platforms (AWS, Azure, GCP) and data warehouses (Snowflake, Redshift).
• Knowledge of MLOps tools such as Docker, Kubernetes, MLflow.
• Experience with workflow automation tools like Apache Airflow.
• Familiarity with feature management tools and database optimization.
• Knowledge of dbt for data transformation and analytics.

• Join a leading insurtech in Europe during its growth phase.
• Enjoy creative freedom and quick decision-making in an innovative environment.
• Participate in a generous employee stock option program.
• Benefit from attractive pension contributions and corporate health insurance.
• Work with a passionate team, participate in company events, and enjoy flexible hybrid working.
• Access professional development opportunities, health benefits, and modern offices with free drinks and fruit.
• Option for additional unpaid holidays.

If this sounds like your kind of job, apply now! For questions or assistance, contact Marta Von Deimling at jobs@xempus.com.

At XEMPUS, over 180 people work towards our vision: making the future plannable. Since 2007, we've been leading digital transformation in the insurance industry. Our success depends on our team — the people behind XEMPUS. We are an equal opportunity employer committed to diversity and inclusion, hiring based on skills, qualifications, and experience.