Data Scientist

Overview

In this role you will apply data science to high-impact renewable energy projects, embedding in a fast-growing team that shapes how energy is generated, stored, and distributed. You will build geospatial screening tools, energy market models, and dashboards to track pipeline and performance. You’ll work with large datasets across grid, weather, and project data, delivering analyses that inform engineering, planning, and investor materials. This is a hands-on position with opportunity to drive real outcomes in the UK energy transition.

Responsibilities

• Build and maintain geospatial screening tools to identify and rank development sites
• Develop energy market models & revenue forecasts for solar and BESS projects
• Create dashboards and automated reporting tools to track performance and pipeline progress
• Work with large, complex datasets (grid, weather, project data)
• Support engineering teams with power systems analysis and statistical modelling
• Apply machine learning techniques for yield prediction and optimisation
• Contribute to technical reports, planning submissions, and investor materials

Key requirements

• Strong Python skills (pandas, NumPy, scikit-learn, matplotlib)
• Experience with SQL and relational databases
• Exposure to geospatial tools (QGIS, GeoPandas, or similar)
• Solid understanding of statistics and machine learning fundamentals
• Interest in renewable energy, power systems, or infrastructure
• Experience with data visualisation tools (Power BI, Plotly, Streamlit) is a plus
• Strong communication skills and ability to explain technical concepts clearly
• Proactive, curious mindset with a desire to learn and grow

• Strong communication skills
• Proactive, curious mindset
• Ability to explain technical concepts clearly
• Python (pandas, NumPy, scikit-learn, matplotlib)
• SQL and relational databases
• Geospatial analysis (QGIS, GeoPandas)

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