Not specified; performance-linked incentives menti...
Not specified (assumed flexible based on the role's nature).
Advanced machine learning and statistical modeling
Python and modern data science tooling
Model risk management and governance frameworks
Barclays is seeking an AI Lead Data Scientist for its Payments acceptance business, responsible for leveraging data analytics and machine learning to improve operational efficiency and strategic decision-making. The ideal candidate will possess expertise in AI/ML model development, stakeholder management, and a strong background in financial contexts
Job Summary
This role provides strategic leadership for AI-driven decisioning across the Payments domain at Barclays.
The successful candidate will be responsible for the end-to-end model development lifecycle, ensuring robustness and explainability.
Key responsibilities include defining modeling standards, managing model risk, and fostering a culture of responsible AI within the organization.
Matching Summary
Match Score: 85
Barclays is seeking an AI Lead Data Scientist for its Payments acceptance business, responsible for leveraging data analytics and machine learning to improve operational efficiency and strategic decision-making. The ideal candidate will possess expertise in AI/ML model development, stakeholder management, and a strong background in financial contexts.
Salary
Not specified; Performance-linked incentives mentioned for partnership context; Not specified
Skills & Requirements
Must-have
Advanced machine learning and statistical modeling
Python and modern data science tooling
Model risk management and governance frameworks
Payments domain experience and transactional analytics
Senior stakeholder influence and strategic advisory
Nice-to-have
Experience with generative AI and agentic analytics
PhD or equivalent advanced research background
Cloud-based AI platform familiarity
Merchant acquiring or fintech sector knowledge
Deep understanding of regulatory compliance in finance
Key Requirements
Advanced quantitative expertise in Statistics or Mathematics
Proven track record delivering AI models in regulated environments
Strong ability to influence senior commercial and risk decision-makers