Your missionAnalyze relationships between renewable energy forecasts, pricing signals, market behavior, and system imbalancesDevelop methods to quantify implicit flexibility using data science, Machine Learning, and statistical toolsTrack and evaluate how energy usage patterns respond to imbalance pricesCombine data from various sources (Hardware availability, behavioral responsiveness, and observed energy consumption) to build a full picture of system flexibilityCommunicate findings and recommendations across departmentsYou may also contribute to other data science initiatives within the team. Your profileTechnical & Analytical SkillsAt least 3 years of experience as a Data Scientist with strong Python expertise (5+ years)Solid grasp of Machine Learning and statistical methodsStrong ability to turn business questions into quantitative modelsExperience working with large datasetsDomain Knowledge: Understanding of energy systems or electricity markets is strongly preferredOther Skills:Able to balance operational and conceptual workExcellent organizational skills and proactive mindsetStrong communication style, fluent in English (Dutch/French is a plus)Collaborative, detail-oriented, and solution-focused