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Data Science Lead – AI
NatWest GroupLead Data Science and AI capabilities for the Economic Crime Hub, designing and deploying production-grade AI models. Collaborate with cross-functional teams to drive innovation and business outcomes.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in leading Data Science and AI capabilities, with a strong focus on designing, building, and scaling production-grade models and AI systems. Proven ability to provide technical leadership and manage the end-to-end lifecycle of models in regulated environments.
Highest-signal resume keywords
Data Science LeadershipAI Solution DesignMLOps ExpertiseModel DevelopmentFinancial Crime Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Production-Grade AI SolutionsModel Lifecycle ManagementModel MonitoringAI Systems DevelopmentData Science Engineering
Soft Skills
Technical LeadershipTeam BuildingCollaboration
Industry Keywords
Economic CrimeFraud EnvironmentsRegulated Environments
About the role
Key responsibilities & impact- Lead Data Science and AI capabilities for the Economic Crime Hub
- Design, build, and scale production-grade models and AI systems
- Own end-to-end lifecycle of models and AI agents
- Collaborate with Analytics, Product, and Technology teams
- Establish and enforce standards for model development and MLOps
- Build and lead a multi-disciplinary Data Science capability
Requirements
What you’ll need- Extensive experience leading engineering-grade Data Science and AI capabilities
- Proven track record of designing and deploying AI-driven solutions
- Technical expertise in delivering production-grade AI solutions
- Ability to provide technical leadership and foster high-performing teams
- Experience within financial crime or fraud environments preferred
- Deep expertise in model development and lifecycle management
- Strong knowledge of MLOps, model monitoring, and production systems
- Experience working within regulated environments
Benefits
Comp & perks- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development