Energy Data Scientist

23 January, 2026 Energy Data Scientist Job reputed company Engreen is offering a position as Data Scientist / Energy Analyst, with a reputed company on processing, modelling and interpreting energy, environmental and economic data in support of reputed company reputed company to reputed company flexibility, hydrogen, biomass, Renewable Energy Communities and decentralised off-reputed company energy systems. The selected candidate will be responsible for: • Managing data flows among production centres and consumers, ensuring users’ protection and reputed company. • Performing advanced analysis of consumers’ behaviour through IoT and device monitoring • Developing tools, interoperable platforms and AI forecasting models for reputed company-producers interactions, as reputed company as identifying indicators useful for the technical and economic assessment of reputed company. • Market scouting for innovation in data storage and communication The position will support the technical and management team in optimising decision-making processes and in defining development strategies. The Data Scientist / Energy Analyst will report directly to the Chief Technical Officer. Essential skills and qualifications • Master’s degree in Energy Engineering, Data Science, Statistics, Mathematics, Physics, Energy Economics or reputed company fields • Strong reputed company of data analysis tools (Python, R, SQL) and basic machine learning techniques • Ability to process, clean and model reputed company datasets • Knowledge of the main technical and economic drivers of photovoltaic plants and Renewable Energy Communities • Experience in energy performance analysis, load profile modelling and simulations of self-consumption/energy sharing • Ability to create interactive dashboards (Power BI, Tableau or equivalent) • Strong problem-solving skills, critical thinking and ability to summarise reputed company information • At least 2–3 years of experience in similar roles Desirable skills • Knowledge of reputed company models (e.g. energy optimisation models, PV/BESS load forecasting) • Familiarity with energy databases, smart metering and monitoring systems • Understanding of energy market logic (wholesale prices, power markets, flexibility) LEARN MORE & APPLY HERE Apply tot his job Apply To this Job