Data Scientist, Consumer Intelligence & NLP

Financial Conduct Authority; City of Edinburgh; On-site; GBP 43,000 - 55,000; Full time

Benefits offered by this job

25 days annual leave

Private healthcare

Pension

Job summary

Financial Conduct Authority in the United Kingdom is seeking a Data Scientist to develop advanced analytical models using consumer and market datasets, with a focus on identifying risks and consumer harm signals. You will design, test, and deploy scalable solutions and build dashboards to support evidence-based decisions.

The role emphasizes regulatory compliance, data governance and strong collaboration with stakeholders across the Digital Intelligence Solutions team.

Qualifications

• Experience applying statistical analysis and data science techniques to business problems.
• Experience analysing large datasets using Python, SQL, and related tools.
• Ability to translate findings into clear recommendations for stakeholders.

Responsibilities

• Develop advanced analytical models using consumer and market data.
• Design, test and deploy scalable analytical solutions.
• Automate data workflows to improve efficiency.
• Build dashboards and tools to support decision-making.
• Ensure methodologies are explainable and regulator-ready.
• Collaborate with stakeholders to translate requirements into actions.
• Communicate impact of CI&A work through reports and demos.
• Support governance, data protection and compliance activities.

Skills

Statistical analysis

Python

SQL

Dashboarding

Stakeholder communication

Education

Higher degree in data science or related field

Tools

Python libraries

Data processing frameworks

Job description

Financial Conduct Authority in the United Kingdom is seeking a Data Scientist to develop advanced analytical models using consumer and market datasets, with a focus on identifying risks and consumer harm signals. You will design, test, and deploy scalable solutions and build dashboards to support evidence-based decisions.

The role emphasizes regulatory compliance, data governance and strong collaboration with stakeholders across the Digital Intelligence Solutions team.