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Data Scientist (Contract) @ Harnham - Data & Analytics Recruitment

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About this role

Contract Data Scientist

Outside IR35

£500 - £550 Per Day

2 Month Duration

2 Days In London Office

The Company

They are a specialist technology business that develops advanced analytics solutions deployed within clients' secure environments. Their platform helps organisations understand customer behaviour, identify value drivers, and build predictive capabilities using transactional and event data. They work closely with enterprise clients on complex, data-led challenges, combining product innovation with practical delivery.

The Role and Deliverables

Build customer segmentation, propensity, and forecasting models using large-scale customer datasets.Lead clustering and segmentation analysis, with a particular focus on delivering a core segmentation and supporting sub-segmentations.Develop models relating to motor and home insurance quote behaviour and customer decision-making.Work from defined business requirements and data science briefs to deliver production-ready modelling outputs.Package models and supporting assets for handover to deployment and engineering teams.Operate as an experienced contractor, delivering value quickly with minimal onboarding. Your Skills & Experience

Strong experience building customer segmentation and clustering solutions.Proven capability in propensity modelling and predictive analytics.Experience developing data science solutions within notebook-based environments.Practical experience using Microsoft Fabric and/or Databricks notebooks.Ability to build and deploy scalable modelling solutions across large datasets.Understanding of insurance customer behaviour, ideally within motor or home insurance.Comfortable working independently and delivering outcomes in fast-paced project environments. How to Apply

If you have strong experience in customer segmentation, propensity modelling, and modern cloud-based data science environments, apply today to discuss this contract opportunity in more detail.

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