About this role
Salary: £50,000 - 70,000 per year
Requirements: Commercial experience as a Data Scientist.Strong Python and SQL skills.Experience building and deploying machine learning models.Strong statistical and analytical skills.Ability to solve complex business problems.Excellent communication skills with confidence working with technical and non-technical stakeholders.Curiosity and enthusiasm for learning new technologies.Insurance, financial services, or pricing experience is desirable.Customer behaviour modelling experience is desirable.MLOps exposure is desirable.Experience with Databricks is desirable.Experience with Azure is desirable. Responsibilities: Build production machine learning models from scratch.Develop pricing and customer behaviour models.Improve existing Lifetime Value (LTV) models.Deploy models into production using Python.Work across pricing, marketing, claims, and customer analytics.Analyse model performance and continuously improve accuracy.Help shape future MLOps capability.Work closely with stakeholders across the business. Technologies: AzureDatabricksMachine LearningMarketingPythonSQLCloud More:
We are a growing insurance business investing heavily in data, pricing, and machine learning. This is a genuine greenfield role where we have built the platform and are now looking for a Data Scientist to help shape what comes next. You will work directly with our Head of, influence the companys long-term Data Science strategy, and have a high level of ownership from day one. We offer a modern Microsoft technology stack including Azure and Databricks, with clear progression as our data function grows. The role is hybrid, based in North West or London, and offers a salary of up to £70,000.
last updated 29 week of 2026