Data Science Manager - ML / AI - Insurance

JR United Kingdom; Slough; Hybrid; GBP 100,000 - 130,000; Full time

Job summary

A leading Lloyd's market insurer is looking for a Data Science Manager to lead a skilled team in creating advanced analytics solutions that enhance underwriting and pricing decisions. This pivotal role involves collaborating across departments, managing a team, and supporting digital transformation initiatives within the company. The successful candidate will have extensive experience in data science, along with strong programming skills and a background in insurance or actuarial roles.

Benefits

Up to 60% Bonus

Up to 17% Pension

Comprehensive Benefits

Qualifications

• Proven experience managing Data Science teams.
• Experience delivering impactful analytics projects.
• Strong communication skills for non-technical audiences.

Responsibilities

• Lead a Data Science team to enhance risk ranking and pricing.
• Collaborate to design machine learning and AI solutions.
• Build data-driven models for risk optimization.

Skills

Statistical modelling

Data manipulation

Machine learning techniques

Stakeholder management

Collaboration

Education

Relevant quantitative discipline

Tools

Python

Azure cloud technologies

PowerBI

Job description

Data Science Manager - ML / AI - Insurance

Location: London (Hybrid)

Employment Type: Permanent, Full-Time

Department: Data Science and Analytics

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

• 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.