A clean energy developer is on the lookout for a Data Scientist to join their dynamic team in Greater London. This role involves developing geospatial tools, energy market models, and automated reporting dashboards to enhance renewable energy projects involving solar and battery storage. Ideal candidates should have experience in SQL, exposure to geospatial tools, and an interest in renewable energy. Join a rapidly growing company and make a real impact on the UK's energy future.
Qualifications
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 visualization tools is a plus.
Responsibilities
Build and maintain geospatial screening tools to identify and rank development sites.
Develop energy market models and revenue forecasts for solar and BESS projects.
Create dashboards and automated reporting tools.
Work with large, complex datasets.
Support engineering teams with power systems analysis.
Apply machine learning techniques for yield prediction and optimization.
Skills
SQL and relational databases
Geospatial tools (QGIS, GeoPandas)
Statistics and machine learning fundamentals
Data visualization tools (Power BI, Plotly, Streamlit)
Strong communication skills
Proactive and curious mindset
Job description
A clean energy developer is on the lookout for a Data Scientist to join their dynamic team in Greater London. This role involves developing geospatial tools, energy market models, and automated reporting dashboards to enhance renewable energy projects involving solar and battery storage. Ideal candidates should have experience in SQL, exposure to geospatial tools, and an interest in renewable energy. Join a rapidly growing company and make a real impact on the UK's energy future.