Lead Data Scientist for Risk & Regulatory Transformation

eFinancialCareers; Greater London; Hybrid; GBP 138,000 - 157,000; Full time

Benefits offered by this job

38 days annual leave

Employer pension contributions

Job summary

eFinancialCareers is recruiting an experienced Data Scientist Lead in London for a high-profile regulatory transformation initiative. You will apply advanced analytics, modelling, and visualisation to drive data-led decisions across risk and transformation projects.

You will collaborate with risk leaders, technology teams, and business stakeholders to deliver analytical solutions, build predictive models, and present findings to senior leadership in a fast-paced, global environment.

Qualifications

• Proven Data Scientist delivering analytics with business impact.
• Strong Python and SQL proficiency.
• Experience in data modelling, machine learning, and risk analytics.

Responsibilities

• Perform advanced data analysis across large and complex datasets.
• Develop predictive models and statistical solutions using Python and SQL.
• Design and maintain data models supporting risk and transformation programmes.
• Build dashboards and visualisations using Power BI or Tableau.
• Partner with technology and business teams to define analytical requirements.
• Identify trends, anomalies, and opportunities through data exploration.
• Improve data quality, governance, and reporting processes.
• Present analytical findings to senior stakeholders and leadership teams.
• Support regulatory and transformation initiatives through data-driven insights.
• Collaborate across global teams to deliver practical analytical solutions.

Skills

Python

SQL

Data Visualisation

Machine Learning

Risk Analytics

Regulatory Transformation

Stakeholder Management

Data Science

Tools

Power BI

Tableau

Job description

eFinancialCareers is recruiting an experienced Data Scientist Lead in London for a high-profile regulatory transformation initiative. You will apply advanced analytics, modelling, and visualisation to drive data-led decisions across risk and transformation projects.

You will collaborate with risk leaders, technology teams, and business stakeholders to deliver analytical solutions, build predictive models, and present findings to senior leadership in a fast-paced, global environment.