Overview
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.
Role
This is a hands‑on role combining technical ownership and production‑grade model deployment.
Responsibilities
- 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.
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.
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