Energy Data Scientist

EnGreen is a team of qualified professionals capable of planning, executing, managing, and monitoring high-impact profit and non-profit projects, while also coaching clients to ensure strategic and operational self-reliance. Its mission is to build long-term business relationships based on trust and expertise, delivering tangible results in energy access, low-carbon technologies, and climate change mitigation through innovative business models that reduce investment risks.

Founded in Italy in 2019, EnGreen consists of a team of highly skilled technical experts with extensive international experience in sustainable development and research. Our expertise covers renewable energy and environmental engineering, finance, economics, and management at both the project and strategic levels. Furthermore, the company specializes in rural electrification, off-grid and grid-connected renewable energy systems, and climate change mitigation, sustainable housing, water and sanitation, as well as business incubation and training.

EnGreen is committed to Research and Innovation initiatives in Europe through its main headquarters in Rome, Italy while an African branch in based in Dakar, Senegal dedicated to access to energy for developing countries.

Main topics treated: renewable energy for socio-economic development, citizens’ energy, hydrogen, AI, smart cities and rural development.

Further information at:(Use the "Apply for this Job" box below)..world

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 about 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.

• 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)

Send a CV in English to talentld by February 15th, 2026, specifying “2026
- Energy Data Scientist candidature” in the email object.