Data Scientist Fraud Management (m/w/d)
Core
Develop and optimize fraud management strategies for application and portfolio processes in the automotive insurance sector.
Role type
Data Scientist (Fraud Management)
Builds
Fraud detection models, scoring systems, and data-driven prevention measures for the automotive insurance business.
Domain
Insurance (Automotive) + Fraud Analytics
Deliverable
production ML models | dashboards & analysis
Required skills
Python, R, SQL, statistical analysis, business case evaluation, stakeholder presentation
Preferred skills
Experience in regulated financial environments, market trend analysis, management reporting
Technologies
Python, R, SQL
Responsibilities
Analyze application and portfolio data to identify patterns and anomalies; design and evaluate fraud scoring models and use cases; translate analytical insights into business recommendations; present findings to management and stakeholders; support top complaint management with data-driven expertise.
