Engreen is offering a position as Data Scientist / Energy Analyst, with a focus on processing, modelling and interpreting energy, environmental and economic data in support of projects related to grid flexibility, hydrogen, biomass, Renewable Energy Communities and decentralised off-grid energy systems. The selected candidate will be responsible for:
Managing data flows among production centres and consumers, ensuring users’ protection and security.
Performing advanced analysis of consumers’ behaviour through IoT and device monitoring
Developing tools, interoperable platforms and AI forecasting models for grid-producers interactions, as well as identifying indicators useful for the technical and economic assessment of projects.
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 related fields
Strong command of data analysis tools (Python, R, SQL) and basic machine learning techniques
Ability to process, clean and model complex 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 complex information
At least 2–3 years of experience in similar roles
Knowledge of advanced energy 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)
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