Data Scientist Simulationsmodelle (m/w/d)
Core
Develop a prototype for a long-term planning model, deriving cause-and-effect relationships between value drivers and financial targets like EBIT and EBITDA.
Role type
Data Scientist (Financial Planning & Simulation)
Builds
Long-term planning model prototypes, regression models, and Monte-Carlo simulations
Domain
Finance / Energy sector
Deliverable
production ML models
Required skills
Statistical modeling, quantitative modeling, regression modeling, forecasting, OLS regression, correlation analysis, lag analysis, Monte-Carlo simulations, financial planning, controlling, enterprise management, financial KPI modeling, value driver modeling
Preferred skills
Python, Palantir Foundry, energy industry knowledge, regulatory knowledge (EnWG, ARegV)
Technologies
Python, Excel, Palantir Foundry
Responsibilities
Develop a prototype for a long-term planning model, derive cause-and-effect relationships between value drivers and financial targets, conceptualize and implement regression models, build and configure Monte-Carlo simulations, validate and plausibilize models, conduct sensitivity analyses, document models and transfer knowledge to the team, collaborate with business units and developers for future implementation
Seniority
Mid-level, hands-on IC
