Data Science Lead

Searchability NS&D
Gloucester, United Kingdom
Last month
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
21 Mar 2026 (Last month)

Job Description

  • Location: Gloucester (Full-time on-site)
  • Salary: Competitive DOE + 6% Bonus, 25 Days Holiday, Clearance Bonus
  • Security Clearance: Active Enhanced DV Clearance Required
  • Key Skills: Team Leadership, Customer Engagement, Data Science, DevOps, Cloud, Data Platforms

Who We Are?

We are a leading technology company specialising in mission-centric solutions, designing and delivering cutting-edge software at scale for both customer infrastructure and public cloud environments. With a strong heritage of innovation and expertise in Data Science, Machine Learning, Agile Software Development, Security Assurance, and Cryptographic Technologies, we help organisations overcome complex data challenges and drive digital transformation.

What Will You Be Doing?

As a Data Science Lead, you will be at the forefront of technically leading diverse teams across machine learning, cloud, data engineering, DevOps, and software engineering. You will:

  • Lead customer engagements and manage stakeholder relationships
  • Contribute to and prepare technical bids and proposals
  • Collaborate with Delivery Management to drive successful project execution
  • Apply practical data science skills through hands-on development
  • Work on complex, technically challenging projects at the cutting edge of the industry
  • Communicate effectively with internal and external stakeholders

What Are We Looking For?

We are seeking individuals with experience in one or more of the following areas:

  • Building and designing scalable data platforms
  • Data visualisation and techniques for data extraction
  • Machine learning and advanced data analytics
  • Proficiency in programming languages such as Python, Java, or C++
  • DevOps techniques and cloud technologies
  • Agile methodologies and team leadership
  • Strong stakeholder and customer engagement skills

This role offers a unique opportunity to work on impactful projects, lead innovative teams, and drive digital transformation in a secure, high-stakes environment.

Ready to take your career to the next level? Apply today and be part of something extraordinary!

Please either apply by clicking online or emailing me directly at. For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you.

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.