Lead Data Scientist

Financial Conduct Authority

Regulating financial services firms and financial markets in the UK, https://www.fca.org.uk/careers


Requirements of the role

We regulate financial services firms in the UK, to keep financial markets fair, thriving and effective. By joining us, you’ll play a key part in protecting consumers, driving economic growth, and shaping the future of UK.

The Data, Technology and Innovation (DTI) division enables the FCA to be a digital-first, data-led smart regulator by delivering a secure, agile, and cost-effective technology and data ecosystem that drives better decisions, transparency, and operational efficiency.

This role sits in a Data Science team which supports the FCA Enforcement and the Financial Crime agenda. In this role, you will be applying cutting-edge AI and advanced analytics to support the FCA in its fight against financial crime.

Role responsibilities:  

  • Support and guide a team of data scientists through thoughtful mentorship, regular feedback and career development conversations that nurture individual growth
  • Cultivate a collaborative and curious team environment by encouraging exploration of new tools, techniques and approaches in data science.
  • Build strong relationships with internal partners to co-design data science projects that reflect regulatory priorities and contribute meaningfully to strategic goals
  • Take a proactive role in shaping and leading initiatives within the Enforcement & Financial Crime Data Science Unit, helping drive progress on impactful programmes
  • Work closely with data engineering and governance colleagues to ensure data pipelines are secure, scalable and designed to meet evolving needs.
  • Champion excellence in data science by promoting best practices, conducting supportive code reviews and contributing to efforts that enhance financial crime detection and enforcement


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 Location

London, Leeds, Edinburgh

 Contract type

Full time, Permanent

 Profession

Data, Lead, Specialist


 Working pattern

Flexible working, Hybrid

 Closing Date

10/11/2025