Data Scientist, Consumer Intelligence & Analytics

Women in Data®; Greater London; Hybrid; GBP 43,000 - 55,000; Full time

Benefits offered by this job

25 days annual leave plus bank holiday

Non-contributory pension

Private healthcare with Bupa

Volunteer time

Job summary

Women in Data® is sponsoring a role within the FCA’s Digital Intelligence Solutions team to develop advanced analytical models and dashboards using consumer and market data. The role focuses on delivering insights for regulatory decision-making and managing data governance and compliance.

You will collaborate with stakeholders to translate complex findings into practical recommendations, automate workflows and contribute to a data-led regulatory environment across London, Leeds and Edinburgh

Qualifications

• Experience applying statistical analysis to solve business problems.
• Experience interpreting large datasets and identifying trends and risks.
• Proven ability to translate findings into actionable recommendations for stakeholders.
• Experience developing dashboards and analytical reports for technical and non-technical audiences.

Responsibilities

• Develop advanced analytical models using consumer and market data.
• Design, test and deploy scalable analytical solutions.
• Automate analytical processes and data workflows.
• Build and maintain analytical products, dashboards and tools.
• Evaluate and maintain robust, explainable methodologies.

Skills

Statistical analysis

Python

SQL

Data dashboards

Stakeholder communication

Data governance

Machine learning

Data interpretation

Education

Degree in data science, statistics, or related field

Tools

Python

SQL

Job description

Women in Data® is sponsoring a role within the FCA’s Digital Intelligence Solutions team to develop advanced analytical models and dashboards using consumer and market data. The role focuses on delivering insights for regulatory decision-making and managing data governance and compliance.

You will collaborate with stakeholders to translate complex findings into practical recommendations, automate workflows and contribute to a data-led regulatory environment across London, Leeds and Edinburgh