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Data Science Manager - ML / AI - Insurance (London Area)

Stott and May
London
1 month ago
Applications closed

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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 aData Science Managerto 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?


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