Data Science Manager - Insurance

JR United Kingdom; London; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Data Science Manager to lead innovative projects that blend traditional underwriting with advanced analytics. This role offers the opportunity to influence core business decisions and shape the future of data-driven underwriting. You will manage a skilled team, driving the development of machine learning models and collaborating with various stakeholders to enhance pricing sophistication and automate processes. Join a supportive environment that values innovation and long-term growth, where your contributions will have a significant impact on the insurance landscape.

Qualifications

• Experience in Data Science or Actuarial roles within the insurance industry.
• Strong leadership capabilities with experience managing teams.

Responsibilities

• Lead a high-impact data science team within the Lloyd’s insurance ecosystem.
• Build machine learning models for risk selection and pricing.

Skills

Statistical Modelling

Machine Learning

Python

Data Analysis

Leadership

Education

Degree in Mathematics

Degree in Statistics

Degree in Computer Science

Tools

Azure Data Factory

Azure Synapse

SQL

Power BI

Job description

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Data Science Manager - Insurance, london

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Client:

Stott and May

Location:

london, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

05.05.2025

Expiry Date:

19.06.2025

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Job Description:

? Data Science Manager

? London | Lloyd’s Market | Hybrid

About the Company

Join a high-performing, globally recognised insurer in the Lloyd’s market — known for its disciplined underwriting, long-term partnerships, and collaborative culture. Our client blends innovation with tradition, offering a dynamic environment where data-driven insights are shaping the future of insurance.

About the Role

We’re hiring a Data Science Manager to lead the design, development, and deployment of machine learning and advanced analytics solutions. You’ll play a critical role in transforming how underwriting, pricing, and risk assessment are executed, using data science to drive smarter decisions and digital trading strategies.

You’ll manage a team of skilled data scientists and work hand-in-hand with underwriters, actuaries, engineers, and business leaders to turn complex data into actionable insights and measurable outcomes.

What You’ll Be Doing

• Lead and grow a high-impact data science team within the Lloyd’s insurance ecosystem.
• Build and productionise machine learning models to support risk selection, pricing, and underwriting automation.
• Collaborate with actuarial and digital trading teams to analyse portfolios and enhance pricing sophistication.
• Implement AI/ML techniques to automate processes and strengthen data pipelines.
• Develop strategic data assets and visualisation tools that empower underwriters.
• Partner with IT and engineering to integrate analytics into core platforms.
• Define best practices for model governance, deployment, and monitoring.
• Contribute to internal governance and model approval processes.

What We’re Looking For

• Experience in Data Science or Actuarial roles, ideally within Lloyd’s or the wider insurance industry.
• Strong leadership capabilities with experience managing teams and engaging senior stakeholders.
• Deep understanding of statistical modelling, machine learning, and data science frameworks.
• Expert-level proficiency in Python; familiarity with version control and collaborative development workflows.
• Experience with Azure tools (e.g. Data Factory, Synapse, SQL, Power BI) highly desirable.
• Proven track record of delivering analytics solutions in collaboration with data engineers and IT teams.
• Degree in a quantitative field such as Mathematics, Statistics, Computer Science, or similar.

Why Apply?

• Influence core business decisions at one of the most respected insurers in the Lloyd’s market.
• Lead exciting projects that combine traditional underwriting with cutting-edge analytics.
• Thrive in a supportive environment that values innovation, ownership, and long-term growth.

? Ready to Make an Impact?

Take the next step in your career and help shape the future of data-driven underwriting. Apply now to join a company where data science drives real-world outcomes.