The Opportunity
We're supporting a specialist data and analytics company that develops and licenses a proprietary customer intelligence platform used by enterprise clients. Their platform sits within client environments and leverages first-party customer data, transactions and behavioural events to identify where value is created, forecast future outcomes and drive customer growth through advanced analytics.
They are looking for an experienced Contract Data Scientist to join a critical insurance-focused project and take ownership of model development from day one.
The Project
Working within the insurance sector, you'll build scalable customer analytics solutions focused on:
Customer segmentation and clustering
Propensity modelling
Forecasting models
Insurance customer behaviour analysis
Large-scale model development and delivery
A key deliverable will be the creation of a primary customer segmentation framework, including multiple sub-segmentations, alongside propensity models that support commercial decision-making.
The project specifically focuses on motor and home insurance quote behaviour, so experience understanding insurance products, quote journeys and customer purchasing behaviour is essential.
What You'll Be Doing
Developing customer segmentation and clustering models
Building propensity and predictive models
Creating forecasting solutions using customer and transactional data
Working within notebook-based analytics environments
Packaging models for deployment and handing over to engineering teams
Collaborating closely with Product, Data Science and Engineering leadership
Essential Skills
Strong commercial Data Science experience
Proven background delivering segmentation and clustering projects
Hands-on propensity modelling experience
Advanced Python
Experience working in Databricks and/or Microsoft Fabric
Experience developing models within notebook environments
Ability to quickly understand business problems and deliver at pace
Insurance sector experience
Highly Desirable
Experience within motor or home insurance
Understanding of insurance quote journeys and buying behaviour
Experience delivering customer analytics projects using first-party customer data
Previous contractor experience in fast-paced delivery environments
Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.
