PYour Mission Analyze relationships between renewable energy forecasts, pricing signals, market behavior, and system imbalances Develop methods to quantify implicit flexibility using data science, machine learning, and statistical tools Track and evaluate how energy usage patterns respond to imbalance prices Combine data from various sources (hardware availability, behavioral responsiveness, and observed energy consumption) to build a full picture of system flexibility Communicate findings and recommendations across departments You may also contribute to other data science initiatives within the team. Your Profile Technical Analytical Skills At least 3 years of experience as a Data Scientist with strong Python expertise (5 years) Solid grasp of machine learning and statistical methods Strong ability to turn business questions into quantitative models Experience working with large datasets Domain Knowledge Understanding of energy systems or electricity markets is strongly preferred Other Skills Able to balance operational and conceptual work Excellent organizational skills and proactive mindset Strong communication style, fluent in English (Dutch/French is a plus) Collaborative, detail-oriented, and solution-focused /p