Senior Climate Modeller (Physical Risk)

PureFuel is seeking a Senior Climate Modeller (Physical Risk) in Cambridge, UK, offering a salary of up to £85k. The role involves leading quantitative modelling for climate risks, developing geospatial data solutions, and collaborating with a talented team. Candidates should have over 2 years of experience in climate modelling, a relevant degree, and skills in Python/R/MATLAB. This is a hybrid position, indicating some remote work is possible.
Senior Climate Modeller (Physical Risk)

Location: Cambridge (Hybrid)

Salary: Up to £85k + Package

Are you passionate about making a meaningful impact on the environment while advancing your career in modelling?

We have an exciting opportunity for a Senior Climate modeller to join our client who are a leading brand in this space, specializing in risk and performance for global businesses.

About the client:

Our client is committed to helping businesses navigate the complex landscape of sustainability. They work with global organizations to assess their risks towards climate change and have one of the most advanced technology solutions across the industry right now.

The Role:

This position is a highly important role for a candidate to lead on quantitative modelling throughout climate & nature, as well as focusing on technical direction and company impacts. You will work alongside a talented team of specialists covering their global client base spanning the Fortune 500.

Duties include:
• Driving technical model development within physical risk / climate change
• Building geospatial data solutions
• Focussing on innovation throughout climate scenario analysis and embedding solutions into their existing offering
• Planning actionable strategies for clients including covering resource demands / project planning
• Working collaboratively with various team members

We're looking for:
• 2+ years experience in Climate/Physical Risk modelling
• Degree in relevant field (Physics, Natural Sciences, Engineering, Sustainability etc)
• Experience coding in Python / R / MATLAB
• Experience working with environmental data sets (CMIP6 / SSP)
• Strong communications skills

Interested? Please apply today in order to be considered.