Head of Data Science & AI

We're supporting a leading financial services organisation undergoing significant investment across AI, Machine Learning and Economic Crime capabilities.

This is a critical leadership opportunity to build and scale a high-performing Data Science & AI function focused on delivering advanced fraud, financial crime and automated decisioning solutions. You'll play a key role in shaping how AI is deployed across a business-critical area, whilst driving innovation within a highly regulated environment.

The Opportunity:

You'll own the end-to-end Data Science & AI agenda, leading the development of production-grade machine learning models, AI systems and intelligent decisioning capabilities that help detect, prevent and manage fraud and financial crime at scale.

Working closely with Product, Analytics, Engineering and senior business stakeholders, you'll transform decision strategies into automated solutions whilst building the teams, platforms and governance frameworks needed to support enterprise-wide AI adoption.

Key Responsibilities:

• Lead the design, deployment and optimisation of AI, machine learning and automated decisioning solutions
• Own the full model lifecycle including development, deployment, monitoring, retraining and governance
• Drive best practice across Data Science, MLOps, AI Engineering and model management
• Build and lead a high-performing team of Data Scientists, ML Engineers and MLOps specialists
• Partner with Product, Analytics and Technology teams to deliver AI-powered fraud and financial crime solutions
• Ensure models and AI systems are scalable, explainable, auditable and compliant with governance requirements
• Drive adoption of emerging AI technologies including GenAI, LLMs and agentic workflows

What We're Looking For:

• Proven experience leading Data Science, AI or Machine Learning teams within large, complex organisations
• Strong experience delivering production-grade AI and machine learning solutions at scale
• Deep understanding of MLOps, model lifecycle management and AI governance
• Experience within Fraud, Financial Crime, Risk or wider Financial Services environments
• Knowledge of advanced modelling techniques, automated decisioning systems and emerging AI technologies including LLMs and Agentic AI
• Strong stakeholder management skills with the ability to influence senior business and technology leaders

Head of Data Science & AI | Fraud & Financial Crime AI Leadership Role

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