Your missionbrAnalyze relationships between renewable energy forecasts, pricing signals, market behavior, and system imbalancesbrDevelop methods to quantify implicit flexibility using data science, Machine Learning, and statistical toolsbrTrack and evaluate how energy usage patterns respond to imbalance pricesbrCombine data from various sources (Hardware availability, behavioral responsiveness, and observed energy consumption) to build a full picture of system flexibilitybrCommunicate findings and recommendations across departmentsbrYou may also contribute to other data science initiatives within the team.brYour profilebrTechnical Analytical SkillsbrAt least 3 years of experience as a Data Scientist with strong Python expertise (5+ years)brSolid grasp of Machine Learning and statistical methodsbrStrong ability to turn business questions into quantitative modelsbrExperience working with large datasetsbrDomain Knowledge: Understanding of energy systems or electricity markets is strongly preferredbrOther Skills:brAble to balance operational and conceptual workbrExcellent organizational skills and proactive mindsetbrStrong communication style, fluent in English (Dutch/French is a plus)brCollaborative, detail-oriented, and solution-focused