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Lead Data Scientist

Financial Conduct Authority

Greater London

Hybrid

GBP 64,000 - 89,000

Full time

Today
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Job summary

A leading financial regulatory body in the UK is seeking a Lead Data Scientist to join their Advanced Analytics and Data Science Units. The ideal candidate will lead a team of data scientists, applying cutting-edge AI and advanced analytics to support the fight against financial crime. This full-time position offers a competitive salary, a hybrid working model with up to 60% remote work, and an inclusive culture promoting career growth and mentorship.

Benefits

25 days annual leave plus bank holidays
Hybrid model with up to 60% remote work
Non-contributory pension and life assurance
Private healthcare with Bupa
35 hours of paid volunteering annually

Qualifications

  • Experience in Python, R, or other object-oriented languages applying diverse data science techniques.
  • Experience in leading key workstreams within complex cross-functional projects.
  • Skilled in designing and delivering analytics projects using large structured and unstructured datasets.

Responsibilities

  • Support and guide a team of data scientists through thoughtful mentorship.
  • Build strong relationships with internal partners to co-design data science projects.
  • Champion excellence in data science by promoting best practices.

Skills

Python
R
Data science techniques
Collaboration
Project leadership
Job description

Lead Data Scientist

Division Intelligence & Digital

Department Advanced Analytics and Data Science Units

Salary : National (Edinburgh and Leeds) ranging from 59100 to 80233 and London from 64900 to 88100 (salary offered will be based on skills and experience)

This role is graded as : Lead Associate - Regulatory

Your recruitment contact is Benjamin via Applications must be submitted through our online portal. Applications sent via social media or email will not be accepted.

About the FCA and team

We regulate financial services firms in the UK to keep financial markets fair thriving and effective. By joining us youll 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 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
Skills : Minimum :
  • Experience in Python R or other object‑oriented languages applying diverse data science techniques
  • Experience of leading key workstreams within complex cross‑functional projects collaborating with stakeholders and ensuring appropriate resourcing to deliver outcomes
  • Experience of collaborating with data engineering and governance teams to maintain and optimise data pipelines
Essential :
  • Skilled in designing and delivering analytics projects using large structured and unstructured datasets
  • Effective collaboration with technical and non‑technical stakeholders to develop solutions
  • Experience in project leadership managing mentoring and developing junior data scientists
  • Clear communication of insights to stakeholders
Benefits :
  • 25 days annual leave plus bank holidays
  • Hybrid model with up to 60% remote work
  • Non‑contributory pension (812% depending on age) and life assurance at eight times your salary
  • Private healthcare with Bupa income protection and 24/7 Employee Assistance
  • 35 hours of paid volunteering annually
  • A flexible benefits scheme designed around your lifestyle
Our values & culture

Our colleagues are the key to our success as a regulator. We are committed to fostering a diverse and inclusive culture : one thats free from discrimination and bias celebrates difference and supports colleagues to deliver at their best. We believe that our differences and similarities enable us to be a better organisation one that makes better decisions drives innovation and delivers better regulation.

If you require any adjustments due to a disability or condition your recruiter is here to help - reach out for tailored support.

We welcome diverse working styles and aim to find flexible solutions that suit both the role and individual needs including options like part-time and job sharing where applicable.

Disability confident : Our hiring approach

Were proud to be a Disability Confident Employer and therefore people or individuals with disabilities and long‑term conditions who best meet the minimum criteria for a role will go through to the next stage of the recruitment cases of high application volumes we may progress applicants whose experience most closely matches the roles key requirements.

Useful information and timelines
  • Advert Closing Date : 9 November at 11 : 59pm
  • CV Review / Shortlist : 10–11 November
  • Interviews : from 17 th November

SC Clearance is required for this role (SC Guidance) - you will hold or will be required to obtain Security Check (SC) level vetting

Key Skills
  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

Employment Type : Full-Time

Experience : years

Vacancy : 1

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