onsite
Data Scientist - Pricing & Business Models Energy Sector - FERCHAU GmbH Niederlassung Nurnberg City
Data Scientist
Lead data-driven pricing and business model development in the energy transition sector, leveraging Python, machine learning, and advanced analytics to optimize revenue and operational efficiency.
About the role
Key Responsibilities
- Develop and maintain predictive models for pricing, demand forecasting, and market analysis using Python and machine learning techniques.
- Design and implement data pipelines, perform data cleaning, and ensure data quality for large-scale energy datasets.
- Collaborate with cross-functional teams to translate business requirements into analytical solutions and actionable insights.
- Conduct statistical analysis and scenario modeling to support strategic decisions on business models and operational improvements.
- Present findings to stakeholders through clear visualizations and reports, driving data-informed decision making.
Requirements
- Bachelor’s or Master’s degree in Data Science, Statistics, Engineering, or related field.
- Proven experience with Python, machine learning libraries (scikit-learn, TensorFlow, PyTorch), and SQL.
- Strong analytical skills with a track record of delivering business value through data insights.
- Knowledge of the energy market, pricing mechanisms, or renewable energy economics is highly desirable.
- Excellent communication skills in German and English, both written and verbal.
Skills
pythonmachine learningdata analysissql