Science Team Internship at Climate X

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

12 Aug, 26

Salary

0.0

Posted On

14 May, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Data Analysis, Climate Science, Geospatial Analysis, Machine Learning, Statistical Modelling, Computer Vision, Hazard Modelling, Loss Modelling, GeoPandas, Xarray, QGIS, Cloud Tooling, Raster Data

Industry

Climate Data and Analytics

Description

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 looig for Currently studying or recently graduated, 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) Curious, diligent, and able to communicate findings clearly Interest in climate risk, hazards, geospatial analysis, or applied modelling Nice to have Experience with geospatial tools (GeoPandas, Xarray, raster data, QGIS) Familiarity with ML/statistical modelling workflows Experience working with large datasets or cloud tooling

Responsibilities

Contribute to hazard and loss modelling, validation, and data workflows for climate risk products. Work on projects involving asset AI characterisation, climate tipping points, and water risk modelling.