Data Scientist – Mobility Analytics, Causal AI & Marketing Intelligence | Data Scientist – Mobility Analytics, Causal AI & Marketing Intelligence (

HUK-COBURG VVaG

Coburg, Bayern, Deutschland
Published Nov 24, 2025
Full-time
Permanent

Job Summary

Join the Data Analytics Team at HUK-COBURG, Germany's leading motor vehicle insurer, and leverage modern Machine Learning and AI methods to create tangible value for over 13 million customers. This role focuses on building a sophisticated, data-driven marketing engine for the company's "Drive" auto-leasing offer. Day-to-day responsibilities include the conception, development, implementation, and continuous optimization of data-driven models, such as customer-vehicle matching and affinity analyses, to identify customer preferences. A critical element of the job involves applying advanced Causal and Treatment Effect Models to strategically optimize targeting, marketing, and sales measures throughout the customer journey. Successful candidates will possess strong Python programming skills and a Master's degree (ideally a PhD) in a quantitative field. This position offers continuous professional development, the chance to mentor junior staff, and the opportunity to translate cutting-edge research into practical business applications within a stable, innovative environment.

Required Skills

Education

Master's degree (minimum) or PhD (ideal) in Data Science, Machine Learning, Mathematics, Physics, Economics, Computer Science, or a related field

Experience

  • Several years of practical experience in developing scalable Machine Learning solutions (Ideally)
  • Profound theoretical and practical knowledge in modern Machine Learning techniques and tools
  • Experience with Causal Machine Learning and Recommender Systems (Ideally)

Languages

Not specified

Additional

  • Willingness to be present in Coburg for the hybrid work model. Full-time role (38 hours) on a permanent contract. Must demonstrate a solution-oriented, hands-on approach with high self-responsibility and project ownership.