Regulatory Data Scientist — ML, NLP & Insights

PSR Limited; London Borough of Newham; Hybride; GBP 47 000 - 55 000; Plein temps

Avantages offerts par ce poste

25 days leave

Pension (8-12%)

Private healthcare

Volunteering 35 hours

Flexible benefits

Résumé du poste

FCA in London, Leeds, and Edinburgh seeks a Data Scientist to build advanced models using consumer data, detect emerging risks, and deliver insights for regulatory decisions. You will develop scalable analytics, automate workflows, and create dashboards, while maintaining governance and data protection standards.

The role emphasizes collaboration with stakeholders, explainable methodologies, and the use of NLP techniques to extract signals from unstructured data.

Qualifications

• Experience applying statistical analysis and data science techniques to solve complex business problems.
• Proficiency in Python and SQL for data processing and modelling.
• Ability to translate analytical outputs into clear recommendations for stakeholders.

Responsabilités

• Develop advanced analytical models using consumer and market data to identify risks and harm signals.
• Design, test and deploy scalable analytical solutions to improve regulatory decision-making.
• Automate analytical processes and data workflows to improve efficiency and repeatability.
• Build dashboards and tools to support evidence-based decision-making.
• Collaborate with stakeholders to translate findings into actionable recommendations.
• Ensure governance, data protection and regulatory compliance in all work.

Connaissances

Statistical analysis

Machine learning

NLP

Python programming

Data visualization

Data-driven decisions

Stakeholder engagement

Regulatory awareness

Description du poste

FCA in London, Leeds, and Edinburgh seeks a Data Scientist to build advanced models using consumer data, detect emerging risks, and deliver insights for regulatory decisions. You will develop scalable analytics, automate workflows, and create dashboards, while maintaining governance and data protection standards.

The role emphasizes collaboration with stakeholders, explainable methodologies, and the use of NLP techniques to extract signals from unstructured data.