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Howden

Global insurance intermediary and broker network

Lead Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • A proven track record of building and deploying production-grade artificial intelligence and machine learning applications that generate measurable business value.
  • Experience working with Data Engineering, MLOps, and Product teams to bring machine learning systems from research through deployment and maintenance.
  • Excellent Python programming skills and hands-on experience with libraries such as XGBoost, PyTorch, TensorFlow, or Hugging Face.
  • Experience working with cloud-based data and artificial intelligence platforms, particularly Azure and Databricks.
  • Strong stakeholder engagement and storytelling capabilities, including the ability to translate technical complexity into executive-level narratives.
  • Experience working within agile, cross-functional product and delivery teams.
  • Strong problem-solving skills and a commercial mindset, with a focus on outcomes rather than models alone.

Responsibilities

  • Lead the end-to-end delivery of machine learning and artificial intelligence solutions, from discovery through production deployment and ongoing optimisation.
  • Partner with business stakeholders to identify opportunities, define use cases, and prioritise work based on commercial value.
  • Design, develop, and deploy scalable machine learning, predictive analytics, and artificial intelligence applications.
  • Drive technical best practices across data science, experimentation, model development, MLOps, and software engineering.
  • Collaborate closely with Data Engineering, Platform, and Product teams to deliver production-grade solutions.
  • Contribute to the evolution of the organisation's artificial intelligence and data science capabilities, standards, and ways of working.
  • Support agile delivery teams by providing technical leadership and guidance throughout the product lifecycle.
  • Stay current with developments in data science, artificial intelligence, and cloud technologies, and help bring innovative approaches into the organisation.

Desired Qualifications

  • Insurance, reinsurance, financial services, or other regulated-industry experience.
  • Experience with generative artificial intelligence, large language model applications, or agentic systems.
  • Exposure to mentoring or coaching other data scientists and technical practitioners.

About the Company

Howden

Global insurance intermediary and broker network

Howden Group Holdings distributes insurance products and services through retail and specialty broking, reinsurance broking, and underwriting as a tech-enabled B2B insurance distributor. It connects clients with insurers and provides risk management and tailored insurance solutions through its platform. It differentiates itself by combining a broad mix of retail, specialty, and reinsurance broking with strategic acquisitions (e.g., Barnett Waddingham and ARM Group) to expand capabilities like captive management and grow its geographic footprint. Its goal is to broaden global reach and service offerings to become a comprehensive insurer-to-client partner for corporate and multinational clients.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$4.1B
Headquarters
London, United Kingdom
Founded
1882

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