Referentin / Referent Informationsanalyse als Data Scientistin / Scientist - Dezernat (m/w/d)
Core
Analyze accident and occupational disease data to build a foundation for effective prevention work, develop risk assessment metrics using machine learning, and create automated reports and dashboards to identify causes of workplace incidents.
Role type
Data Scientist (Prevention Analytics)
Builds
Production ML models for risk assessment | Dashboards & analysis for accident prevention
Domain
Insurance / Occupational Health & Safety / Statistics
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, Python, Machine Learning, Statistical Analysis, Data Visualization, Risk Assessment
Preferred skills
Experience with large datasets, MS-Office proficiency
Technologies
MySQL, Python, Machine Learning frameworks
Responsibilities
Analyze accident and occupational disease incidents; Maintain and develop an analysis database; Develop metrics for risk assessment and statistical analysis; Create automated reports and interactive dashboards to identify causes of workplace accidents and diseases.
Seniority
Mid-level, hands-on IC
