Lead Data Scientist

McCabe & Barton; City Of London; On-site; GBP 120,000 - 130,000; Full time

Job summary

McCabe & Barton in London is seeking a hands-on Lead Data Scientist to shape and develop its data and analytics capability within the UK insurance market. You will lead commercially focused data science projects, turning complex insurance and market data into insight that supports better decision‑making.

The role combines technical delivery, senior stakeholder engagement and leadership of a growing team. This position requires strong data science and analytical modelling experience, advanced

Qualifications

• Strong data science and analytical modelling experience.
• London Market insurance experience.
• Advanced Python or R and SQL skills.
• Experience working with large and complex datasets.
• Strong commercial awareness and stakeholder‑management skills.
• Previous team leadership or mentoring experience.
• Experience delivering analysis that influences business decisions.

Responsibilities

• Lead commercially focused data science projects, turning complex data into actionable insights.
• Engage senior stakeholders to shape data strategy and priorities.
• Mentor and grow a data science team within the function.

Skills

Data science

Python/R

SQL

Stakeholder management

Team leadership

Big data

Job description

£120,000–£130,000 basic salary + benefits

A leading insurance business is looking for a hands-on Lead Data Scientist to help shape and develop its data and analytics capability.

You will lead commercially focused data science projects, turning complex insurance and market data into insight that supports better decision‑making. The role combines technical delivery, senior stakeholder engagement and leadership of a growing team.

Key requirements

• Strong data science and analytical modelling experience
• London Market insurance experience
• Advanced Python or R and SQL skills
• Experience working with large and complex datasets
• Strong commercial awareness and stakeholder‑management skills
• Previous team leadership or mentoring experience
• Experience delivering analysis that influences business decisions

This is an opportunity to take a leading role within a developing data function, with significant scope to influence its direction and delivery.