Head of Data Science (GenAi) - Insurance

Albion Blake
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Associate Director, AI & Advanced Analytics

Title: Head of Data Science (GenAI)

Location: London (Hybrid)

Salary: £170,000 DOE + Bonus/Benefits

Industry: Lloyd’s Market Insurance


A high-performing, forward-thinking Lloyd’s market insurer is seeking a Head of Data Science (Generative AI) to lead the next phase of its AI-driven transformation.


This is a rare opportunity to shape enterprise-wide GenAI strategy within a top-quartile performing insurer that is investing heavily in digital trading, underwriting augmentation and intelligent automation.


You’ll operate at senior leadership level, partnering with Underwriting, Actuarial, Technology and Executive stakeholders to embed AI at the core of risk selection, pricing optimisation and portfolio performance.


Responsibilities:


  • Define and execute the enterprise GenAI and advanced analytics strategy
  • Build and lead a high-performing Data Science team
  • Develop AI-driven solutions enhancing underwriting decision-making, risk appetite alignment and technical pricing
  • Drive Digital Trading innovation, including broker data intelligence and automation across the Digital-Follow channel
  • Partner with Data Engineering to ensure scalable Azure-based data pipelines and model deployment
  • Present insights and strategic recommendations at ExCo and Board level
  • Establish best-in-class governance, validation and model risk frameworks


Experience:


  • Proven experience leading and scaling Data Science teams
  • Strong background in ML / AI, ideally including Generative AI applications
  • Deep expertise in Python and modern ML frameworks
  • Experience delivering models that directly impact underwriting, pricing, and profitability
  • Strong stakeholder engagement skills — able to translate complex modelling into commercial strategy
  • Familiarity with Azure (Data Factory, SQL, Synapse, Power BI) highly advantageous
  • Insurance or Lloyd’s market experience preferred
  • Strong academic background in a quantitative discipline


Why This Role?


  • Strategic, business-facing leadership position
  • Significant investment in AI and digital transformation
  • Highly collaborative, underwriting-led culture
  • Competitive package: £170k DOE + strong bonus + excellent pension & benefits
  • Hybrid London working model

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.