What are you going to do?
The energy transition is in full swing—and Eneco is leading the way. Our goal? Sustainable energy for everyone. That applies not only to our operations, but also to the energy we provide to our customers.
We invest in and develop our own wind and solar farms, and help individuals and businesses make smart, sustainable choices every day. Now that we’re part of Mitsubishi Corporation, we have the resources and reach to scale our impact even further—and we’re doing it.
At Eneco, you’ll be working at the heart of this transformation. Your expertise will directly support our goal to trade smarter, forecast better, and move faster toward a net-zero future.
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.
You’ll be responsible for
- 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.
What do we ask?
- Minimal of 4 years experience in meteorological data science and productionizing python based software.
- You have solid expertise in meteorology and (short-term) forecasting, with hands-on experience working with NWP datasets and ensemble predictions.
- You are comfortable applying data science methods (e.g. Python, PyTorch/TensorFlow, statistical modelling, etc.) to meteorological data.
- You know how to validate forecast models, quantify uncertainty, and translate results into improvements for trading or operations.
- You are curious about how weather drives energy markets and are motivated to apply your skills in a trading environment.
- You enjoy working in a multidisciplinary setting, collaborating with traders, analysts, and other data scientists.
What do we offer?
- Gross annual salary between €75.000 and €113.000. Including FlexBudget, 8% holiday allowance, and depending on your role a bonus or collective profit sharing.
- FlexBudget. Have it paid out, use it to buy extra holiday days or save it up for something nice, it's up to you.
- Personal and professional growth: Eneco is fully committed to help you in your personal and professional development.
- Hybrid working: home, office or abroad. Work 40% at the office, 40% from home, and 20% flexibly. With manager approval, you may work abroad (within approved countries) up to 3 weeks/year, max 2 consecutively.