Data Science Manager - ML / AI - Insurance

Location: London (Hybrid)

Employment Type: Permanent, Full-Time

Department: Data Science and Analytics

Industry: Lloyds Insurance

Up to 130K + Up to 60% Bonus + up to 17% Pension + Benefits

Overview

An innovative Lloyd’s market insurer is seeking a Data Science Manager to lead a growing team in building cutting-edge data-driven solutions that directly impact underwriting, pricing, and risk selection. This is an exciting opportunity to influence strategic decisions and drive digital transformation across the business.

The company has a strong reputation for top-quartile performance and a forward-thinking, collaborative culture. You’ll join a team that empowers its underwriters and invests in long-term, sustainable growth.

Key Responsibilities

As the Data Science Manager, you will:

• Lead and manage a high-performing team of Data Scientists, delivering projects that enhance risk ranking, digital trading, pricing, and profitability analytics.
• Collaborate with stakeholders across Underwriting, Technology, Actuarial, and Analytics to design and implement advanced machine learning and AI solutions.
• Build and refine data-driven models to optimize risk appetite alignment, loss classification, and technical rating methodologies.
• Contribute to digital trading initiatives by developing broker data insights and automation tools for the Digital-Follow channel.
• Define strategic data requirements and partner with Data Engineers to ensure efficient data pipelines and model deployment.
• Present findings to senior leadership and support the development of management and board-level reports.
• Champion best practices in data governance, model validation, and analytics delivery across the business.

What You’ll Bring

• Proven experience managing Data Science teams and delivering business-impactful analytics projects.
• Strong stakeholder management skills, with the ability to communicate complex technical ideas to non-technical audiences.
• Advanced knowledge of statistical modelling, data manipulation, and machine learning techniques.
• Expert-level programming skills, particularly in Python.
• Familiarity with Azure cloud technologies (Data Factory, SQL, Synapse Analytics, PowerBI) is a strong plus.
• Experience in Data Science or Actuarial roles, ideally within the insurance or Lloyd’s market.
• A collaborative mindset with the ability to work cross-functionally across analytics, actuarial, data engineering, and IT teams.
• Strong academic background in a relevant quantitative discipline.

Sound good?

APPLY NOW!