Contract Data Scientist

Harnham - Data & Analytics Recruitment; City Of London; On-site; GBP 96,000 - 152,000; Full time

Job summary

Harnham - Data & Analytics Recruitment is supporting a specialist data and analytics client in London on a contract Data Scientist role focused on an insurance project. You will own model development from day one, delivering segmentation, propensity and forecasting solutions using first-party data.

You'll work in notebook environments, packaging models for deployment and collaborating with Product, Data Science and Engineering leaders to drive commercial decisions for motor and home insurance

Qualifications

• Commercial data science experience in production environments.
• Segmentation and clustering project delivery.
• Hands-on propensity modelling experience.
• Advanced Python programming.
• Databricks and/or Microsoft Fabric experience.
• Experience with notebook-based analytics.
• Understanding insurance sector problems.

Responsibilities

• Develop customer segmentation and clustering models.
• Build propensity and predictive models.
• Create forecasting solutions from customer and transactional data.
• Work in notebook-based analytics environments.
• Package models for deployment with engineering teams.
• Collaborate with Product, Data Science and Engineering leadership.

Skills

Data Science exp

Segmentation & clustering

Propensity modelling

Advanced Python

Databricks / Fabric

Notebook environments

Insurance experience

Tools

Databricks

Microsoft Fabric

Job description

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