Senior Data Scientist

Zego

full-time

Posted on: 3/9/2026

Location Type: Hybrid

Location: London • United Kingdom

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About the role

Develop and refine risk, demand, and market models using statistical techniques and actuarial methods
Analyse insurance data to identify trends, anomalies, and opportunities for improvements
Collaborate with the technical and street pricing teams to implement pricing changes effectively
Communicate complex data concepts and model outcomes to a diverse set of stakeholders
Support continuous improvements by integrating new tools and technologies into the pricing process

Bachelor’s or Master’s degree in Statistics, Mathematics, Actuarial Science, Data Science or related field
Proven experience in non-life insurance pricing and modelling and advanced data science, with a strong focus on model development, deployment, and tooling
Strong Python programming skills, with experience in developing and maintaining analytics packages and tools. Familiarity with data science libraries such as pandas and scikit-learn
Proficient in SQL, particularly with cloud data warehouses like Snowflake
Familiarity with cloud-based data platforms (we’re on AWS) and data visualisation tools (Looker, matplotlib, seaborn)
Experience with version control systems (e.g., Git), CI/CD pipelines, and software development best practices in a data-intensive environment
Excellent communication and project management skills, with a proven ability to work collaboratively across teams and present complex information in a clear, accessible way

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

statistical techniquesactuarial methodsdata analysisPythonSQLdata sciencemodel developmentcloud data warehousesdata visualizationversion control

Soft Skills

communicationproject managementcollaborationproblem-solving