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.
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.
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 skills (pandas, numpy, scikit‑learn or similar).
* Strong SQL skills (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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