Data Scientist

Overview

As a Data Scientist in FCA’s Digital Intelligence Solutions, you’ll develop advanced models and dashboards to surface consumer risk signals and regulatory insights. You will work within the CI&A team to transform large, external data into actionable intelligence that informs regulatory decisions. Your work will automate analyses, build scalable analytics products, and support data governance in a fast-paced, regulatory context. This role offers impact at scale, shaping supervisory decisions and consumer protection.

Pay / Benefits

• 25 days annual leave plus bank holidays
• Office presence around London, Leeds and Edinburgh
• Non-contributory pension (8–12%) and life assurance
• Private healthcare with Bupa
• Income protection and Employee Assistance
• 35 hours volunteering annually

Responsibilities

• Develop advanced analytical models using consumer and market data to identify risks and harm signals
• Design, test and deploy scalable analytical solutions to improve efficiency and impact of consumer intelligence
• Automate data workflows to reduce manual effort and increase repeatability
• Build and maintain analytical products, dashboards and tools for evidence-based decision-making
• Evaluate and maintain robust, explainable methodologies suitable for regulatory use
• Collaborate with stakeholders to translate findings into practical recommendations
• Communicate impact of CI&A work via presentations, reports, and demonstrations
• Support data governance, data protection, and regulatory compliance activities while adhering to governance standards

Key requirements

• Experience applying statistical analysis and data science techniques to solve complex problems
• Experience analyzing large datasets using Python and SQL, identifying trends and risks
• Experience developing dashboards and visualisations and translating findings for technical and non-technical audiences
• Solid knowledge of data science methods: modelling, predictive analytics, ML, NLP
• Experience designing scalable, automated analytical workflows
• Ability to critically evaluate outputs, stating assumptions and uncertainty
• Strong stakeholder engagement to shape decisions and deliver outcomes
• Understanding of data governance and regulatory considerations for handling sensitive data
• Ability to manage multiple priorities in agile delivery environments

• Stakeholder engagement
• Communication of complex findings to diverse audiences
• Collaborative and proactive problem-solving
• Python (proficient)
• SQL
• Statistical modelling

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