Senior Data Scientist
Office x4 days a week
This is an opportunity to join one of the most innovative firms in the global insurance market, specialising in climate-related parametric risk. Backed by world-leading (re)insurers and operating in over 15 countries, this company merges actuarial science, data science, and cutting-edge technology to address complex climate risk exposures for corporates and governments.
Following a $100M+ Series B and full-stack insurance licensing, they are expanding their London presence. As a Senior Scientist, you’ll operate at the intersection of data, modelling, and market strategy, supporting bespoke coverage for weather-related events. You’ll collaborate with commercial, technical, and research teams to shape tailored, data-led insurance products for clients worldwide.
Key Responsibilities
* Underwrite parametric insurance policies with a deep understanding of client needs and climate risk exposures
* Work with brokers and internal teams to structure, price, and deliver bespoke coverage solutions
* Develop and improve pricing models to monitor risk and portfolio performance
* Lead client-facing underwriting conversations within the London market
* Collaborate with R&D, legal, and operations to ensure smooth execution and compliance
* Provide technical oversight for Underwriting Data Scientists and contribute to strategy development
* Produce high-quality insurance proposals and policy documentation
Requirements
* 4+ years’ experience in a data science, actuarial, or underwriting environment
* Strong quantitative background with a degree in maths, statistics, physics, or similar
* Proficiency in Python (e.g. pandas, scikit-learn) and comfort with statistical modelling
* Interest or prior experience in parametric insurance and/or climate risk modelling
* Track record of managing technical projects or small teams is a plus
* Strong attention to detail, analytical thinking, and stakeholder communication
If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).