Our
Energy Management Department is looking for a
VIE Data Scientist to join its European team, based in Stockholm, Sweden or in Helsinki, Finland.
As the renewable energy industry evolves, Neoen’s portfolio of wind, solar and storage assets is increasingly exposed to the electricity markets. The Energy Management Department is in charge to manage this exposure and to optimize Neoen’s operations in the electricity markets across our different geographies by combining market expertise and modelling capabilities.
As part of the Energy Management Europe, the Data Science VIE will contribute to the following tasks:
- Support the Portfolio Manager in:
- Negotiating BRP and BSP contracts
- Executing the GOO sales strategy
- Monitoring the European merchant position
- Assist in daily market operations of our batteries in Europe :
- Maintain and improve our existing market models (optimization models, forecasting models) used to optimize our batteries
- Monitor market conditions, price evolution and regulatory context to adjust the bidding strategy
- Expand our internal modelling capabilities by collaborating closely with our Quantitative Engineer :
- Develop new optimization and simulation tools to support innovative business opportunities (solar + storage hybrid installation etc.)
- Develop short-term and long-term electricity price forecasts
- Deliver data-driven market analysis and reports to Neoen’s Senior Management- Help with the day-to-day technical running of the team :
- Monitor and maintain data collection services, Virtual Machines, Databases
- Set up of new data feeds
- Develop and maintain dashboards and reporting tools
The candidate will need the following skills and experience to succeed in this role:
- Education: Master’s Degree student in Engineering, Applied Mathematics, Data or Computer Science
- Experience or strong interest for the energy industry
- Good analytical skills, knowledge in Machine Learning techniques
- Knowledge in constrained optimization models (LP, MILP) would be a plus
- Python capabilities with familiarity with data science libraries (pandas, sklearn, keras, …)
- Language: Fluent in English
- On the soft skills side, we are looking for someone proactive and curious, with good communication skills, assertiveness and strong appetite for innovation and international collaboration