Meteorologic Forecaster

As a Meteorological Data Scientist within Eneco’s Forecast Product Development team, you’ll develop and refine weather-driven forecasting models that directly support our intraday and day-ahead trading desks. You’ll work with high-resolution meteorological datasets and advanced modelling techniques to provide traders with timely, reliable input for decision-making in a fast-moving market. 

You don’t just deliver accurate forecasts,  you make them smarter. By quantifying uncertainty, you give traders the edge to outsmart the market. Your insights directly reduce imbalance risks and boost trading performance. 

• Researching and analyzing the impact of weather on Eneco’s trading portfolio using NWP models (e.g. ECMWF, ICON, HARMONIE) and emerging AI/ML-based data sources. 
• Developing and enhancing short-term weather-to-weather and weather-to-power forecast products tailored to trading needs. 
• Building probabilistic forecasts and risk metrics that support P&L management and imbalance reduction. 
• Validating, benchmarking and continuously improving forecast models, in close collaboration with other data scientists and traders. 
• Acting as a sparring partner for operations and trading teams, ensuring clear translation of meteorological insights into commercial relevance. 
• Exploring and testing new forecasting methodologies and contributing to Eneco’s long-term forecasting roadmap. 

Behind six screens you'll find Eneco's balanced, analytically strong decision-makers. The Energy Trading Desk is the heartbeat of the operation: a high-impact, high-focus environment where portfolio components come together and real-time decisions are made. It’s the portal to the outside world, where we negotiate with exchanges, energy suppliers, and banks.
You’ll be working side by side with analysts, traders and engineers to ensure Eneco delivers the right amount of energy, every single day.
Our collaborative and technically advanced environment ensures you have all the tools to experiment, iterate, and improve forecasting models that directly influence P&L outcomes and trading success.