Lead Weather-to-Power Data Scientist

Imagine a future where your power forecasting skills help optimize the short-term trading of the largest offshore wind fleet in Europe

Join us in this role where you'll be responsible for advancing our short-term forecasting capabilities and directly impact Ørsted's short-term trading performance. In this position, you'll enable our short-term trading desk by creating the best possible forecasts to support trading decisions. As part of Portfolio Performance, you'll contribute to how we operationally and commercially develop our weather-to-power models and setup for Ørsted's European portfolio.

You'll be part of our team Portfolio Performance where you, together with your colleagues, will work closely with our traders, quants, and IT to secure the best possible power forecast for our fleet. In the role you will be given responsibility developing and maintaining our power forecast setup and develop comprehensive insights into the movements in the forecast. The team is curious and collaborative, always looking for new ways to improve what we do and create meaningful value. We care deeply about our work and like to keep an informal tone.

You'll play an important role in

• leading and developing our in-house short-term weather-to-power setup for forecasting wind generation
• collaborating on projects to improve our data structure, speed and ML/AI initiatives to choose the right methods, tools and level of complexity to reach business objectives
• ensuring reliable, on-time forecast delivery across markets, performance monitoring and incident handling to safeguard quality and performance
• turning data into action by developing impactful analytics and visualization tools and creating evaluation frameworks to measure forecast quality and trading outcomes
• working in close collaboration with forecast vendors, traders and other stakeholders to extract maximum value from forecast and asset portfolio information.

To succeed in the role, you

• have bachelor's degree or higher in mathematics, physics, meteorology, or a related field
• have minimum 3-5 years' experience in a quantitative role, ideally in weather modelling, renewable generation forecasting and short-term trading
• get your energy from being at centre of production forecasts, analytics and trading strategy
• have ability to drive performance improvements and innovation in fast-moving, time-sensitive environment
• have experience using Python and modern data tools to build (Pandas , Scipy, etc.), validate, and operationalize (CI/CD, Kubernetes, advanced ML) forecasting models on large weather and energy time‑series datasets, working with cloud-based and production-grade data platforms (Azure/AWS).
• have strong communication skills, able to explain complex problems clearly, analyse issues and provide comprehensive and actionable solutions.
• are fluent in English.

Maybe you've read the above and can see you have some transferable skills, even though they don't quite match all the points. If you think you can bring something to the team, we still encourage you to apply.

Shape the future with us

Send your application to us as soon as possible. We'll be conducting interviews on a continuous basis and reserve the right to take down the advert when we've found the right candidate.

As an applicant or employee, you may request reasonable work and position accommodation or adjustments via [email protected].

Please note that for your application to be taken into consideration, you must submit your application via our online career pages and answer the screening questions relevant for your country. We don't take applications or inquiries from external recruiters or agencies into account for this position.