My client is a fast-growing UK FinTech 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 leadership role combining technical ownership, team development, and production-grade model deployment.
The Role
As Lead Data Scientist, you will:
Lead and develop a growing Data Science team, setting standards and delivery cadence
Own end-to-end ML solutions - from problem framing and feature engineering to deployment, monitoring, and governance
My client is a fast-growing UK FinTech 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 leadership role combining technical ownership, team development, and production-grade model deployment.
The Role
As Lead Data Scientist, you will:
Lead and develop a growing Data Science team, setting standards and delivery cadence
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)
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 ! Lead Data Scientist Stats for this job Salary comparison: This job National average IT Jobs average North West England average Salaries The number of jobs in each salary range for all: Receive
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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)
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 ! Lead Data Scientist Stats for this job Salary comparison: This job National average IT Jobs average North West England average Salaries The number of jobs in each salary range for all: Receive