Data Scientist (Loss Modelling)

ZipRecruiter; London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A mission-led impact tech company based in London seeks a Data Scientist specializing in loss modelling. You will develop and implement sophisticated loss models to tackle environmental risks, collaborate with a dynamic research team, and engage with industry stakeholders. The role offers a competitive salary, equity, and a chance to contribute towards addressing global environmental challenges.

Benefits

Meaningful equity

Comprehensive benefits

Qualifications

• Strong experience in catastrophe or loss model development and calibration.
• 3+ years of experience in climate risk, catastrophe, or related modelling domains.
• Proficiency with geospatial data and climate datasets.

Responsibilities

• Develop and implement robust loss models across various environmental risks.
• Calibrate and validate models using large datasets.
• Collaborate with stakeholders and represent the team at industry events.

Skills

Geospatial data

Applied statistics

Python

R

Communication

Education

PhD or equivalent experience in climate science

Tools

AWS

GCP

Job description

Job Description

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- 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
• 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.