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Data Scientist (Loss Modelling)

Albany Growth
London
18 hours ago
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šŸ’» Data Scientist (Loss Modelling)

šŸ“ Hybrid (London – 3 days on-site)

šŸŒ Series A Impact Tech Business

šŸ’µ Ā£60k - Ā£80k + Meaningful Equity


Albany Growth are partnering with amission-led impact tech focused companybacked 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 aData Scientistwith specific experience inloss 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 groundedloss modelsacross things such as floods, storms, droughts, and wildfires
  • Calibrate and validate models using large geospatial and financial loss datasets
  • Help shape a flexibleloss modelling frameworkadaptable 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 incatastrophe or loss model developmentand calibration
  • Applied statistical background with ability to validate models both quantitatively and qualitatively
  • Proficiency withgeospatial 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)



šŸ“Hybrid working (3 days/week on-site in London)

šŸ’µĀ£65k - Ā£80k base + very good equity + comprehensive benefits

šŸŒMission-led company tackling environmental risk with science and software

šŸ“ˆSeries 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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