Data Science Lead

Burns Sheehan
London, England
11 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist - Customer Development

Faculty AI London, United Kingdom
£80,000 – £120,000 pa Hybrid

Data Engineering Lead

ICAEW Milton Keynes, United Kingdom
£75,000 – £85,000 pa Hybrid

Lead Data Scientist

Harnham - Data & Analytics Recruitment London, United Kingdom
£100,000 – £110,000 pa Hybrid Clearance Required

Data Portfolio Lead

Multiverse London, United Kingdom
Hybrid

Lead Data Scientist

Morgan McKinley London, United Kingdom
£67,000 pa Hybrid Clearance Required

Lead Data Scientist

Faculty AI London, United Kingdom
Hybrid
Posted
18 Jun 2025 (11 months ago)

Lead Data Scientist

  • £100,000-£120,000
  • Hybrid/remote working opportunities
  • Superb range of benefits

Are you looking for your next data science opportunity within the insure-tech space?

This is your chance to work as part of a high-quality AI team, tackling complex problems that provide services for everyone. Ideally, we seek someone with experience in a product-led technology business, emphasizing the use of Data Science, Machine Learning, and AI to drive success.

This role is not traditional; you will lead a team of up to four within the wider team and serve as a key mentor. You should be bright, inquisitive, and curious while possessing the ability to set high standards and positively challenge those around you.

Experience with projects involving LLMs is a significant plus, and there is an expectation that you come from a technical background with commercial experience in Python.

The team is a highly talented group that consistently drives innovation.

Benefits

  • 28 days holiday + bank holidays
  • Private medical
  • Share options
  • Learning & development budgets
  • Monthly socials
  • WeWork office space for in-office days
  • Top spec equipment

Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.


#J-18808-Ljbffr

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.