Energy Data Scientist
Job description
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
Desirable skills
- 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)