Data Scientist
at Women in Data UK Skilled Worker Employer
Professional Body
About the job
- Berkshire - Hybrid 2 days office attendance Are you ready to shape the future of predictive analytics in financial services? We are looking for a versatile Data Scientist to help to build and scale our clients data science practice. Sitting at the heart of the Data team, you will apply machine learning, predictive modeling, and statistical rigor to tackle real world business challenges across customer behaviour, risk, and pricing. What You'll Do
- Build End-to-End Solutions: Scope, design, train, and deploy production-ready ML models and statistical experiments.
- Shape the Platform: Collaborate with Data Engineering and Analytics to build reproducible pipelines and integrate workloads into a Unified, AI-powered analytics platform.
- Drive Business Impact: Translate raw, complex transactional data into actionable predictions and partner with cross-functional teams (Product, Marketing, Finance) to unlock competitive advantage.
- Ensure Model Excellence: Monitor live model performance, guard against data drift, and champion best practices in MLOps. What You Bring
- Proven experience building and iterating on ML models in a commercial setting.
- Expert-level Python skills (pandas, NumPy, scikit-learn, etc.) and strong statistical grounding.
- Experience working within cloud or modern data environments (Microsoft Fabric, Azure, or Databricks).
- Clear, impactful communication skills to bridge technical models and business outcomes. This is an exceptional opportunity for a candidate who wishes to help shape DS within an established business that has embraced new data platforms through smart business decisions and a collaborative data function. Justin.toomey@datatech.org.uk Women in Data® advertise roles on behalf of our partners, alliances, and members. We are proud supporters of Women in Data. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community. Stay connected! Follow us on LinkedIn for updates on career opportunities and more.
Sign up for free or
Log in to view all job posting insights and get access to competitive insights.
Job ref blurredText
Posted on blurredText
Last checked on blurredText
Closing on blurredText
0 comments
0 requirements
Discuss this job
Share your intel on this vacancy and help others - anonymously. Get notified automatically of new comments when starred or saved to Tracker.
Log in to view and post comments.
My Private Notes
Saving private notes will automatically star the vacancy to your Jobs page.
Log in to view and save your private notes.