Data Scientist – Advanced Analytics

Financial Conduct Authority
Leeds
3 weeks ago
Create job alert

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.




About the FCA and team

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.


Role responsibilities

  • 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



Skills required

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



Benefits

  • 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 values & culture

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 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

We’re 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 process. In cases of high application volumes, we may progress applicants whose experience most closely matches the role’s key requirements.


Useful information and timeline

  • Advert Closing: 20 January (please submit your application by 11:59pm on 19 January)


  • CV Review/Shortlist: 21 January


  • Interviews W/C: 26 January


  • Your Recruiter will discuss the process in detail with you during screening for the role, therefore, please make them aware if you are going to be unavailable for any date during this time.



#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist - Advanced Analytics (Hybrid)

Data Scientist: ML, Insights & Governance (Hybrid, London)

Senior Sports Data Scientist: Lead ML & Analytics

Data Scientist: Predictive Analytics (12-Month Contract)

People Data Scientist

Data Scientist – Public Sector (Hybrid AI/Analytics)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.