Senior Data Scientist
My client is a fast-growing UK business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment.
This is a hands-on role combining technical ownership and production-grade model deployment.
The Role
As Senior Data Scientist, you will:
- Own end-to-end ML solutions -from problem framing and feature engineering to deployment, monitoring, and governance
- Translate business objectives into modelling strategies aligned to risk appetite and operational constraints
- Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent)
- Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions
- Establish monitoring frameworks for performance, drift, and retraining
- Drive clear documentation, traceability, and governance appropriate for a regulated environment
This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance.
Essential Experience
- Proven commercial ML/Data Science delivery with measurable impact
- Experience taking models into production and managing performance over time
- Prior experience leading or mentoring Data Scientists
- Strong Python (pandas, numpy, scikit-learn or similar)
- Strong SQL (complex joins, aggregations, analytical functions)
- Solid grounding in applied statistics, evaluation design, calibration, bias/fairness
- Experience working closely with Engineering/Data teams in production-first environments
- Comfortable operating within regulated industries
Desirable
- AWS experience (S3, Athena/Glue, IAM, Lambda)
- SageMaker or equivalent ML platform experience
- Financial services domain knowledge (risk, fraud, affordability, payments)
- Experience with model explainability and governance documentation
Package & Benefits
- Hybrid working model
- Competitive pension
- Additional paid leave (birthday, charity, wellbeing, life events)
- Employee assistance programme & Virtual GP
- Modern collaborative office environment
Interested? Please Click Apply Now!
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