Science Team Internship

• Prototype computer vision and machine learning techniques to characterise buildings at a global scale.
• Explore the potential impacts of large-scale climate scenarios and develop approaches to quantify climate tipping points.
• Model water scarcity under current and future climate conditions to support investment and infrastructure decision-making.

This role helps organisations understand and quantify climate risks, enabling better decisions for risk management, stress testing, and disclosure, ultimately supporting climate resilience and adaptation.

• Currently graduate students or recent postgrads in a quantitative field (climate science, meteorology, geography, physics, engineering, maths, statistics, computer science, or related).
• Comfortable working with data and writing code (typically Python).
• Curious, diligent, and able to communicate findings clearly.
• Interest in climate risk, hazards, geospatial analysis, or applied modelling.

Paid, full-time, hybrid in London office. 12-week summer internship starting in July. Flexibility with all of the above.

Climate X is a leading tech startup that quantifies present and future financial risk from climate and hazards, building scientific models and software to help organisations understand exposure, assess risk, and make better decisions under climate uncertainty.