Data Scientist

tools to identify and rank development sitesDevelop energy market models & revenue forecasts for solar and BESS projectsCreate dashboards and automated reporting tools to track performance and pipeline progressWork with large, complex datasets (grid, weather, project data)Support engineering teams with power systems analysis and statistical modellingApply machine learning techniques for yield prediction and optimisationContribute to technical reports, planning submissions, and investor materialsWhat We’re Looking ForStrong Python skills (pandas, NumPy, scikit-learn, matplotlib)Experience with SQL and relational databasesExposure to geospatial tools (QGIS, GeoPandas, or similar)Solid understanding of statistics and machine learning fundamentalsInterest in renewable energy, power systems, or infrastructureExperience with data visualisation tools (Power BI, Plotly, Streamlit) is a plusStrong communication skills and ability to explain technical concepts clearlyProactive, curious mindset with a desire to learn and growWhy Apply?Work on high-impact renewable energy projects shaping the UK’s energy futureGain exposure to engineering, energy markets, and infrastructure developmentBe part of a growing, entrepreneurial team with real autonomyAccelerate your career in one of the fastest-growing sectors globallyDiscipline(s): Renewable Energy, Grid and Storage, Cleantech and SaaSJob type: Permanent