Data Scientist (Climate & Geospatial)

ZipRecruiter is seeking a Data Scientist (Climate & Geospatial) in London for a full-time hybrid position. The role involves analyzing climate and geospatial data to support risk management in financial services. Candidates should have experience in data science, preferably related to climate risk, and proficiency in Python or R. The position offers competitive salary and career growth opportunities while working with industry-leading datasets.
Job Description

Data Scientist – Climate & Geospatial | Financial Services | London (Hybrid)

Location: London, UK

Employment Type: Full-time | Hybrid

We're looking for a talented Data Scientist / Senior Data Scienctist with a passion for climate risk and geospatial data to join our clients growing analytics team in London. If you're 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, you'll work at the intersection of climate science, geospatial analysis, and insurance risk modeling, helping their clients better understand and manage the impact of physical climate risk. You'll be building scalable models and tools that directly support underwriting, portfolio risk management, and strategic planning in a changing climate.

What You'll Do
• Analyse 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 visualise and interpret climate risk data for technical and non-technical audiences
• Collaborate with insurance and reinsurance clients on climate-related risk assessments
• Stay on top of the latest climate science and ESG regulations impacting the FS industry

What We're 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