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.
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
Responsibilities
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.
Requirements
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
Familiarity with ML/statistical modelling workflows
Experience working with large datasets or cloud tooling
Benefits
Vision insurance
Additional Information
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.
Climatex · London, UK