Climate Scientist

Location: London Area, United Kingdom (Hybrid / Remote )

Contract Type: Outside IR35

Initial Duration: 3-4 Months

Start Date: ASAP

• Short-term consultancy opportunity with a high-impact climate intelligence company
• Hands-on modelling and research on severe weather events and their implications
• Join a multidisciplinary science and technology team working on next-gen climate tools
• Outside IR35 - flexible hybrid/on-site setup

To apply, contact

We are working on behalf of a cutting-edge organisation that develops tools to assess the consequences of extreme weather linked to climate change. The team merges environmental science, data, and modelling into commercial decision-making.

This is a project-based position for an experienced climate scientist with a specialisation in storm system analysis, such as tropical cyclones, extra-tropical systems, and storm surge. You'll be joining a science unit that's refining hazard models, interpreting climate signals, and contributing to a growing library of actionable insights. Your scientific expertise will shape real-world decisions and product offerings.

• Improve and calibrate internal models simulating intense storm systems
• Translate atmospheric data and climate projections into practical hazard risk indicators
• Work with earth system scientists, risk analysts, and geospatial experts on data integration
• Run model evaluations and contribute to quality assurance of simulation outputs
• Support explanation of model assumptions and findings to wider business and client teams
• Use programming tools (primarily Python) in remote/cloud environments for analysis
• Stay current with peer-reviewed research and bring scientific rigour to project outputs

• At least 3 years' experience applying scientific research on extreme weather systems, either in industry or academia
• Experience building or improving models for tropical cyclones, storm surge, or related hazards
• Proficiency using Python for analysis in cloud-based or remote workflows
• Skilled communicator able to explain technical results to non-specialists
• Comfortable working at the interface of science and product development
• PhD (or equivalent research experience) in climate science, atmospheric modelling, or a related field (preferred)

• Catastrophe model frameworks for wind or flood perils
• Bayesian statistics, probabilistic modelling, or extreme value theory
• Prior work on translating scientific climate data into decision-useful formats

Storm Modelling, Climate Hazards, Tropical Cyclones, Python, Climate Risk, Physical Risk Analysis, Atmospheric Science, Remote Modelling, Scientific Communication, Risk Mapping, Cloud Computing

?? TO APPLY

Email your CV and brief note of interest to

All applications will be treated in confidence and submitted only with your express permission.