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Zonneplan is seeking a Data Scientist to join the Trading & Optimization team. You will build probabilistic forecasting models for energy trading and grid management, integrating forecasting with optimization and control to enable real-time decisions.
You will collaborate with engineers and traders, deploy models live, monitor performance, and push continuous improvements, using AI tools like Claude Code and GitHub Copilot. Fluent Dutch is required.
At Zonneplan, we are committed to shaping a sustainable future by eliminating reliance on fossil fuels and promoting renewable energy sources. Our mission, known as plan Zero, aims to create a Netherlands without fossil energy by leveraging innovative solutions in energy trading, battery optimization, and AI-driven forecasting. We believe in making a tangible difference through technological advancements and dedicated teamwork. Our organization fosters a collaborative environment where expertise, innovation, and impact are at the forefront, enabling us to contribute significantly to a cleaner, greener energy landscape.
As a Data Scientist within our Trading & Optimization team, you will operate at the intersection of energy and artificial intelligence. Your work will have a direct and measurable impact on the energy grid, enabling smarter energy trading and management. You will develop integrated models that combine probabilistic forecasting, optimization, and control systems, ensuring real-time decision-making and operational efficiency. The role requires close collaboration with data scientists, engineers, and traders in a flat organizational structure that encourages initiative and ownership. Your models will be deployed live, and you will be responsible for maintaining, optimizing, and troubleshooting them proactively. The position offers an exciting opportunity to contribute to plan Zero by enhancing the efficiency and sustainability of energy consumption and distribution through advanced AI tools and innovative modeling techniques.
At Zonneplan, we are committed to fostering an inclusive and diverse workplace. We believe that a variety of perspectives and backgrounds enhances our innovation and effectiveness. We welcome applications from all qualified candidates regardless of race, gender, age, religion, sexual orientation, disability, or other protected characteristics. Our hiring practices are designed to ensure equal opportunity and to promote a respectful, supportive environment for everyone.