Ai Lead Data Scientist - Bpl

Barclays

United Kingdom
Not specified; performance-linked incentives menti...
**
Advanced machine learning and statistical modelling expertise
Python and modern data science tooling capability
Experience delivering ai models in regulated environments
** Barclays is seeking an AI Lead Data Scientist for its Payments domain, responsible for leveraging machine learning and data analytics to inform strategic decision-making and enhance operational efficiency. The ideal candidate will have advanced quantitative expertise and a strong background in AI/ML model development within regulated environments, alongside excellent stakeholder management skills. **

Job Summary

  • This role provides strategic leadership for AI-driven decisioning across the Barclays Payments domain, ensuring models support fraud detection, pricing, and customer experience outcomes.
  • The successful candidate will be responsible for the end-to-end model lifecycle, from problem framing to production monitoring, while adhering to strict Model Risk Management and regulatory expectations.
  • As a Director-level leader, you will manage a large team, influence enterprise-wide strategy, and act as a principal contact point for senior stakeholders across Payments, Risk, and Compliance.

Matching Summary

Match Score: 75

** Barclays is seeking an AI Lead Data Scientist for its Payments domain, responsible for leveraging machine learning and data analytics to inform strategic decision-making and enhance operational efficiency. The ideal candidate will have advanced quantitative expertise and a strong background in AI/ML model development within regulated environments, alongside excellent stakeholder management skills. **

Salary

Not specified; Performance-linked incentives mentioned for partnership context

Skills & Requirements

Must-have

  • Advanced machine learning and statistical modelling expertise
  • Python and modern data science tooling capability
  • Experience delivering AI models in regulated environments
  • Strong understanding of model validation and governance
  • Ability to influence senior commercial decision-makers

Nice-to-have

  • Experience with generative AI and agentic analytics
  • Background in payments or merchant acquiring sectors
  • Familiarity with cloud-based AI platforms
  • PhD or equivalent advanced research experience
  • Knowledge of large-scale transactional datasets

Key Requirements

  • Advanced quantitative expertise in Statistics, Mathematics, or Computer Science
  • Proven track record of deploying AI/ML models into production within regulated industries
  • Demonstrated ability to lead organisation-wide projects and mentor specialists

Work Rights

Not specified

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