Data Scientist (Climate & Geospatial)

ZipRecruiter; London; Hybrid; GBP 50,000 - 90,000; Full time

Job summary

Join a mission-driven team tackling climate challenges as a Data Scientist in London. This role offers the chance to work with cutting-edge geospatial data and climate models, applying machine learning techniques to derive actionable insights for the financial services sector. You'll collaborate with industry leaders to assess climate-related risks and develop innovative tools that help clients navigate the complexities of climate impact. With a flexible hybrid work model and opportunities for career growth, this position is perfect for those passionate about making a difference in the climate risk analytics space.

Benefits

Flexible hybrid work model

Competitive salary

Bonus and benefits package

Career growth opportunities

Qualifications

• Experience in data science, ideally in climate or geospatial fields.
• Proficiency in Python or R with relevant libraries.

Responsibilities

• Analyze climate datasets and model natural catastrophes.
• Develop tools to visualize climate risk data.

Skills

Data Science

Climate Risk Analysis

Geospatial Data Analysis

Machine Learning

Python

R

Education

Degree in Data Science

Degree in Environmental Science

Degree in Geoinformatics

Tools

Pandas

Scikit-learn

GIS Software

Job description

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