Data Scientist

• Salary: National (Edinburgh and Leeds) ranging from £43,100 to £50,200 and London from £47,300 to £55,100 per annum (salary offered will be based on skills and experience)
• This role is graded as: Associate level 8 - Regulatory

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 Digital Intelligence Solutions team deliver a Digital Unified Intelligence Environment (DUIE) to surface insights for action through tools, dashboards and bespoke analysis.

Our Consumer Intelligence & Analytics (CI&A) team transforms large volumes of consumer-generated data from social media, review platforms, complaints channels and other external sources into actionable intelligence that supports regulatory decision-making and helps identify emerging consumer harms

• Developing advanced analytical models using consumer and market datasets to identify emerging risks, trends and consumer harm signals while applying statistical, machine learning and natural language processing techniques to extract insights from structured and unstructured data
• Designing, testing and deploying scalable analytical solutions that improve the efficiency, consistency and impact of consumer intelligence activities
• Automating analytical processes and data workflows to reduce manual effort, improve repeatability and increase team effectiveness
• Building and maintaining analytical products, dashboards and tools that support evidence-based decision-making and enhance the FCA's ability to identify and respond to emerging consumer issues
• Evaluating, validating and maintaining robust, explainable analytical methodologies and outputs that are suitable for regulatory use
• Working collaboratively with stakeholders to understand business problems, define analytical requirements and translate complex findings into practical recommendations
• Communicating the impact and value of CI&A's work through presentations, demonstrations, written reports, stakeholder engagement activities and the promotion of analytical best practice and capability development
• Supporting data governance, data protection and compliance activities including DPIAs, data-sharing assessments and compliance reviews while ensuring all analytical work adheres to governance standards, ethical principles and relevant consumer data legislation

• Demonstrated experience applying statistical analysis and data science techniques to solve complex business problems, delivering insights that inform strategic decision-making and operational improvements
• Experience analysing and interpreting large, complex datasets using Python, SQL and related technologies, identifying trends and risks
• Prior experience developing dashboards, visualisations and analytical reports, translating technical findings into clear recommendations for both technical and non-technical stakeholders, enabling data-driven decisions

• Solid knowledge of data science methodologies, including statistical modelling, predictive analytics, machine learning and natural language processing
• Experience developing scalable analytical solutions and designing repeatable workflows focused on…