Not specified (assumed hybrid or flexible based on industry standards).
Advanced machine learning and statistical modelling
Payments domain expertise and fraud detection
Model risk management and regulatory governance
Barclays is seeking an AI Lead Data Scientist for its Payments Business, responsible for driving AI and machine learning initiatives to enhance decision-making and operational efficiency. The ideal candidate will possess advanced quantitative expertise, experience in regulated environments, and strong leadership skills to influence stakeholders
Job Summary
This role provides strategic leadership for AI-driven decisioning across the Payments domain, ensuring models support merchant acquisition, pricing, and fraud outcomes.
The successful candidate will define and enforce modelling standards while managing the end-to-end lifecycle from problem framing to production monitoring within regulated environments.
As a senior advisor, you will influence Payments leadership on AI strategy, risk trade-offs, and responsible AI practices aligned with Model Risk Management expectations.
Matching Summary
Match Score: 85
Barclays is seeking an AI Lead Data Scientist for its Payments Business, responsible for driving AI and machine learning initiatives to enhance decision-making and operational efficiency. The ideal candidate will possess advanced quantitative expertise, experience in regulated environments, and strong leadership skills to influence stakeholders.
Skills & Requirements
Must-have
Advanced machine learning and statistical modelling
Payments domain expertise and fraud detection
Model risk management and regulatory governance
Python and modern data science tooling
Senior stakeholder influence and strategic leadership
Nice-to-have
Generative AI and agentic analytics experience
PhD or equivalent advanced research background
Cloud-based AI platform familiarity
Merchant acquiring or fintech sector knowledge
Experience with large-scale transactional datasets
Key Requirements
Advanced quantitative expertise in Statistics or Mathematics
Proven experience delivering AI/ML models into production
Strong understanding of model validation and governance
Ability to influence senior commercial and risk decision-makers