Data Scientist
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Arrondissement of BrusselsCapital, Brussels, Belgique
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pbData Scientist /bbr/bLocation: Brussels (Belgium), or Amsterdam (Netherlands) /bbr/bContract: Permanent /b /ppbUse data to help decarbonise Europe’s industrial heat systems. /b /ppA leading European energy technology company is looking for a bData Scientist /b to focus on the growing field of industrial heat decarbonisation. If you’re curious about the intersection of data science, clean energy, and large-scale impact—this role offers the chance to work on exactly that. /ppAs part of a dynamic data team, you’ll help evaluate and optimise Power-to-Heat technologies such as electric boilers, heat pumps, and thermal storage. Your work will inform real-time decision-making, influence investment strategy, and contribute directly to reducing dependence on fossil fuels. /ph3What you’ll do /h3pThis role blends analytical thinking, technical expertise, and a genuine interest in the energy transition. You’ll work across three main areas: /ppbSimulation Backtesting (40%) /b /pulliDevelop tools to simulate heat asset performance in various market and operational conditions /liliDesign backtesting systems to test the business and technical viability of different optimisation strategies /li /ulpbTailored Asset Analysis (40%) /b /pulliDive into custom studies for complex energy systems—such as sites combining heat, solar, wind, and storage /liliUse detailed consumption/load profile data to assess how flexible and efficient each configuration can be /li /ulpbData Visualisation Monitoring (20%) /b /pulliBuild intuitive dashboards to track energy production, consumption, and performance KPIs /liliProvide clear, data-driven insights for internal teams and external partners /li /ulh3What we’re looking for /h3pbCore requirements /b /pulliFluency in English and either French or Dutch (additional languages are a plus) /liliAdvanced Python skills with practical experience using libraries like pandas, numpy, and scikit-learn /liliExperience working with large-scale databases and cloud data tools (e.g. Google BigQuery or similar) /liliAbility to design, test, and iterate on algorithms used in forecasting, simulation, or optimisation /li /ulpbBonus points for /b /pulliPrevious experience working with energy systems or industrial data /liliFamiliarity with API integrations and automated data pipelines /liliA background in modelling thermal assets or renewable/hybrid setups /li /ulh3Soft skills that will help you succeed /h3ulliA proactive, curious mindset and the confidence to challenge assumptions /liliThe ability to work independently while staying aligned with broader goals /liliComfort translating technical findings into real-world business recommendations /liliAn interest in new technologies, even outside your immediate expertise /li /ulh3Why this opportunity stands out /h3ullibTangible impact /b: Your work supports the transition away from fossil-based heating in European industry /lilibAgile structure /b: A fast-paced, scale-up environment with the backing of a major international energy group /lilibLearning collaboration /b: Work alongside experienced professionals across data, engineering, and energy markets /lilibHybrid working /b: Enjoy flexible working conditions, including two remote days per week /lilibInternational scope /b: Collaborate across country teams and participate in company-wide events and initiatives /li /ulpbAbout the company /b /ppThe hiring organisation is an energy tech firm operating across multiple European markets. Known for its innovation in demand response and flexible asset management, it supports businesses in optimising energy use and contributing to a balanced power grid. With strong technical capabilities and a focus on sustainability, it’s at the forefront of modernising Europe’s energy systems. /p