As a Meteorological Data Scientist, you'll create smarter, accurate weather-driven forecasting models for a fast-moving trading market. Work with advanced modelling techniques to provide traders with reliable insights, reducing imbalance risks and enhancing trading performance. Collaborate with data scientists and traders, improving forecasts and exploring new methodologies. Be part of a high-impact environment where real-time decisions shape our trading success. Enjoy a technically advanced setting that supports experimentation and iteration. Read on to see how your skills fit into this role.

Over het bedrijf

Eneco

Directe werkgever•251 - 1000 medewerkers

•

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What you’ll do

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.

Is this about you?

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.

This is where you’ll work

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.

Salaris

€75.000 - €113.000

Gerelateerde zoekopdrachten

Fulltime Rotterdam Loondienst (vast) Rotterdam Rotterdam Provincie Zuid-Holland

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