Science Team Internship

About Climate X

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

Firms (e.g. banks, insurance companies, and real estate investors) use Climate X models to turn future climate hazards into decision-ready risk and loss outputs at both asset and portfolio level. Banks quantify exposure and potential losses for risk management, stress testing, and disclosure workflows. Estate firms use generate asset- and portfolio-level reporting aligned to frameworks like TCFD, SFDR, EU Taxonomy, GRESB, and CRREM, and compare climate risk across portfolios/regions.

The opportunity

We are looking for Science Interns to join our team this summer. You will work alongside scientists and engineers on real products and research, contributing to our hazard and loss modelling, validation, and data workflows. You will gain first hand experience of problem solving in a product driven environment balancing real world constraints.

What you will do

We are looking for interns who would be interested in working on projects around the following themes:

• Asset AI characterisation — prototyping computer vision and machine learning techniques to characterise buildings at a global scale.
• Climate Tipping Points — exploring the potential impacts of large-scale climate scenarios and developing approaches to quantify them.
• Climate & Water Risk — modelling water scarcity under current and future climate conditions to support investment and infrastructure decision-making.

What we are looking for

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

Nice to have

• Familiarity with ML/statistical modelling workflows
• Experience working with large datasets or cloud tooling

About the position

• 12 week summer internship starting in July
• Paid, Full time, hybrid in London office 3x/week
• Application deadline is May 29
• Flexibility with all of the above