Data Science & AI Lead

Overview

Join us as a Data Science & AI Lead

In this key role, you'll lead Data Science and AI capabilities for the Economic Crime Hub, designing, building, and scaling production-grade models, AI systems, and automated decisioning solutions. You'll own the end-to-end lifecycle of models and AI agents, ensuring decisions are executed safely, consistently, and effectively at scale. Make an impact by building a high-performing Data Science and Machine Learning (ML) Engineering capability that drives innovation and business outcomes through AI and advanced analytics.

Responsibilities

• Own the end-to-end Data Science and AI agenda, delivering scalable models, AI systems, and agentic workflows embedded within decision-making across the Hub. Oversee the design, build, and deployment of models and AI solutions into production environments to deliver reliable, high-performing outcomes that support business objectives at scale.
• Establish and enforce standards for model development, MLOps, monitoring, and lifecycle management. Partner with Analytics, Product, and Technology teams to translate decision strategies into automated, production-grade solutions with technical feasibility, scalability, and integrity.
• Build and lead a multi-disciplinary Data Science capability, encompassing Data Scientists, ML Engineers, and MLOps specialists, ensuring strong technical depth, continuous development, and clear progression across the function.
• Act as the single-threaded owner for the automation of decision-making, translating analytical logic and decision strategies into production-grade models and AI systems across the full lifecycle.
• Oversee model performance, including accuracy, stability, drift, reliability, and real-world effectiveness of decision-making in production environments.
• Embed controls, validation, monitoring, and safeguards into models and AI systems by design.
• Advance AI and ML capabilities, including agentic AI, Large Language Model (LLM) use cases, MLOps, and automation frameworks, while increasing automation without adding risk or control debt.
• Design scalable architectures, standardized pipelines, and reusable model components to enable efficient and repeatable delivery.
• Build a high-performing Data Science, ML Engineering, and MLOps function, driving technical excellence, innovation, and career development.
• Ensure models are explainable, traceable, auditable, and compliant with governance frameworks, partnering with Model Risk on technical implementation and model behaviour.

Qualifications

• Extensive experience leading engineering-grade Data Science and AI capabilities, delivering scalable, automated decisioning systems. Proven track record of designing and deploying AI-driven solutions, leveraging advanced modelling techniques and emerging approaches such as LLMs and agentic workflows.
• Ability to lead the delivery of production-grade AI solutions in a complex, regulated environment; provides technical leadership, fosters high-performing teams, and drives innovation while maintaining governance and risk management practices.
• Experience working within financial crime or fraud environments is preferred.
• Deep expertise in model development and lifecycle management, including building, deploying, monitoring, retraining, and retiring models in production environments.
• Strong knowledge of MLOps, model monitoring, and production systems, ensuring reliability and operational effectiveness of models and automated decisioning.
• Experience working in regulated environments with understanding of model governance, explainability, auditability, and data risk management.
• Proven ability to build and scale high-performing teams across Data Science, ML Engineering, and MLOps functions.

Hours

35

Job Posting Closing Date

19/07/2026

Ways of Working

Hybrid