Data Science Manager - ML / AI - Insurance
Location:
London (Hybrid)
Employment Type:
Permanent, Full-Time
Department:
Data Science and Analytics
Industry:
Lloyds Insurance
If you think you are the right match for the following opportunity, apply after reading the complete description.
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!
