Data Scientist – Advanced Analytics

Job Title:
Data Scientist – Advanced Analytics

Division: Data, Technology and Innovation

Department
:
Advanced Analytics & Data Science Units

• Salary: National (Edinburgh and Leeds) ranging from £52,400 to £71,200 and London from £57,700 to £78,300 (salary offered will be based on skills and experience)

• This role is graded as: Senior 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.

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 finance services.

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.

Sitting within DTI, the Advanced Analytics & Data Science Units department develops the FCA's organisation-wide capability to drive an analytics-led regulatory approach.

• Drive innovation across the organisation by delivering projects that uncover meaningful insights from complex datasets, empowering smarter decision making, simplifying processes, and anticipating risks before they arise

• Guide technical delivery across the full project lifecycle from understanding requirements to successful implementation, working closely and collaboratively with stakeholders at every level to create solutions that truly make a difference

• Support and nurture talent by mentoring junior team members, helping them grow their technical confidence and problem-solving skills, while ensuring best practices in data science are consistently upheld

• Advocate for advanced analytics throughout the organisation, encouraging the adoption of cutting-edge techniques and fostering an inclusive, collaborative culture where data driven decisions thrive

• Shape the future of financial regulation through bold, experimental projects that protect millions of UK consumers and contribute to long term, sustainable economic growth

• Expand your expertise and influence by embracing emerging technologies, tackling diverse business challenges, and building strong connections through cross functional collaboration opportunities

Minimum:

• Proven experience in applying data science and machine learning techniques and methods to practical business problems

• Prior experience using Python, R or similar, to analyse, transform and visualise data

• Degree in mathematics, statistics, computer science or related field

Essential:

• Exposure to technologies such as Generative AI and large language models;
  Natural Language Processing;
  Network Analytics;
  Predictive Modelling

• Experience in creating clear and engaging data visualisations using dashboarding tools (e.g. Tableau and Power BI)

• Knowledge SQL and relational databases

• Experience with cloud computing architecture (e.g. AWS and its services)

• Strong communication and collaboration skills to build positive relationships and work effectively with internal and external stakeholders

• Ability to apply data science techniques in the Financial Services industry

• Familiarity with financial regulation or other regulatory areas

• 25 days annual leave plus bank holidays

• Hybrid model with up to 60% remote work

• Non-contributory pension (8–12% 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

For a full list of our benefits, and our recruitment process as a whole visit our benefits page.

Our colleagues are the key to our success as a regulator. We are committed to fostering a diverse and inclusive culture: one that’s free from discrimination and bias, celebrates difference, and supports colleagues to deliver at their best. We believe that our differences and similarities enable…