Data Scientist Fraud Management (m/w/d)
Core
Develop and optimize fraud management strategies for application and portfolio processes in the insurance sector, focusing on prevention, detection, and data-driven control.
Role type
Data Scientist (Fraud Management)
Builds
Fraud detection models, scoring systems, and analytical approaches for insurance claims and applications.
Domain
Insurance / Financial Services
Deliverable
production ML models
Required skills
Python, R, SQL, statistical analysis, business case development, data visualization, stakeholder presentation
Preferred skills
Experience in regulated financial environments, understanding of economic relationships, initiative
Technologies
Python, R, SQL
Responsibilities
Analyze application and portfolio data to identify patterns and anomalies; design and evaluate use cases and scoring models; translate analytical insights into business recommendations; present results to management and stakeholders; represent the department in top complaint management.
Seniority
Mid-level, hands-on IC
