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# Data Scientist

- **Company:** Benefitsfinancial Services
- **Location:** Reading, UK
- **Experience:** Experienced
- **Salary:** £70,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Cluster Analysis, Continuous Integration, Information Engineering, Python (Programming Language), NumPy, Azure Machine Learning, Git, Machine Learning Operations
- **Published:** September 25, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/data-scientist/48319043

## About the Role

stakeholders and keeping the focus on the business answer What we're looking for 2-3+ years' commercial Data Science experienceStrong statistical fundamentals across regression, classification, clustering, time series and experimental designStrong Python, including pandas, NumPy and scikit-learnExperience of taking models beyond the notebook and into productionUnderstanding of MLOps, CI/CD and model deployment, or experience working closely with engineersA practical approach to modelling, with a preference for explainable solutions over unnecessary complexity Nice to haveFinancial services, fintech or another regulated environmentMicrosoft Fabric, Azure ML or DatabricksMLflow, DVC and Git The Why You won't be joining a business that is still trying to work out what to do with its data.The platform and engineering capability are already there. You'll have an established data team around you who understand Data Science, and genuine scope to help to shape how modelling is used across the
business.

## Description

Data ScientistBuckinghamshire · Hybrid · £70,000 + benefitsFinancial Services An amazing opportunity for a Data Scientist who wants to build things that actually get used.The business has spent years getting the data and engineering foundations right. The platform is now in place, and the business is looking for a Data Scientist to help with turning that into models that improve real business decisions. Think customer behaviour, risk, and operational efficiency. Real problems, real data, and models that make it into production. What you'll be doingTaking business problems from the initial question through to a deployed modelBuilding and validating models in Python, then monitoring performance once they're liveUsing statistics, experimentation and A/B testing to properly test ideasWorking closely with Data Engineering on pipelines, features and productionisationGoing beyond dashboards when the problem needs something more sophisticatedExplaining the output clearly to senior


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