Data Scientist (Loss Modelling)

Albany Growth

City of London, England

10 months ago

Applications closed

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Posted: 25 Jun 2025 (10 months ago)

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Data Scientist (Loss Modelling)
Hybrid (London – 3 days on-site)
Series A Impact Tech Business
£60k - £80k + Meaningful Equity

Albany Growth are partnering with a

mission-led impact tech focused company

backed by a top-tier VC who are looking to expand out their world class research and science team and as a result are looking for a

Data Scientist

with specific experience in

loss modelling .

This role is ideal for someone with experience in catastrophe or physical risk modelling, applied statistics, and geospatial data. You’ll play a key role in shaping the loss modelling framework behind a next-generation SaaS platform used by global clients across banking, insurance, and real estate.

Key Responsibilities
Develop and implement robust, scientifically grounded

loss models

across things such as floods, storms, droughts, and wildfires
Calibrate and validate models using large geospatial and financial loss datasets
Help shape a flexible

loss modelling framework

adaptable across global markets
Collaborate with stakeholders to communicate modelling approaches and outputs
Represent the team at industry events and contribute to external engagement

Key Requirements
Strong experience in

catastrophe or loss model development

and calibration
Applied statistical background with ability to validate models both quantitatively and qualitatively
Proficiency with

geospatial data , Earth Observation sources, and climate datasets
Skilled in Python, R, or similar programming language
Excellent communication skills, with the ability to explain technical concepts clearly
PhD or equivalent experience in climate science, hazard modelling, remote sensing, or statistical modelling
3+ years of experience in climate risk, catastrophe, or related modelling domains

Bonus Experience
Expertise in exposure and vulnerability within catastrophe models
Background in Bayesian statistics, Extreme Value Theory, or uncertainty quantification
Knowledge of machine learning techniques for climate risk
Familiarity with cloud computing (AWS, GCP)

Hybrid working (3 days/week on-site in London)
£65k - £80k base + very good equity + comprehensive benefits
Mission-led company tackling environmental risk with science and software
Series A stage with strong customer traction across financial services

If you’re excited about applying scientific rigour to tackle one of the world’s most urgent challenges, apply using the link and we’ll be in touch with more details.

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