Job Description
Data Scientist – Climate & Geospatial | Financial Services | London (Hybrid)
Location: London, UK
Employment Type: Full-time | Hybrid
Were looking for a talented Data Scientist / Senior Data Scientist with a passion for climate risk and geospatial data to join our clients growing analytics team in London. If youre excited about turning complex environmental datasets into actionable insights for the FS sector, we want to hear from you.
About the Role
In this role, youll work at the intersection of climate science, geospatial analysis, and insurance risk modeling, helping our clients better understand and manage the impact of physical climate risk. Youll be building scalable models and tools that directly support underwriting, portfolio risk management, and strategic planning in a changing climate.
What Youll Do
* Analyze and model climate and natural catastrophe datasets (e.g., flood, wildfire, storm, sea-level rise)
* Work with large-scale geospatial data (satellite imagery, GIS layers, remote sensing)
* Apply machine learning techniques to identify risk patterns and trends
* Develop tools to visualize and interpret climate risk data for technical and non-technical audiences
* Collaborate with insurance and reinsurance clients on climate-related risk assessments
* Stay updated on the latest climate science and ESG regulations impacting the FS industry
What Were Looking For
* Experience in data science, ideally in climate, geospatial, or catastrophe risk
* Proficiency in Python, R, or similar, with experience using libraries e.g., pandas, scikit-learn
* Experience with climate models (e.g., CMIP6, ERA5) or catastrophe models is a strong plus
* Degree in a quantitative field: data science, climatology, environmental science, geoinformatics, or similar
Why Join Us?
* Be part of a mission-driven team tackling real-world climate challenges
* Work with industry-leading datasets and tools
* Flexible hybrid work model (central London office)
* Competitive salary, bonus, and benefits package
* Career growth opportunities in a rapidly expanding area of climate risk analytics
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