Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Head of Data Science & AI

Global Resourcing
Newcastle upon Tyne
5 months ago
Applications closed

Related Jobs

View all jobs

Head of Data Science, AI and Data Visualisation

Head of Data Science

Head of Data Science

Head of Data Science

Data Engineering Manager

Research Data Scientist

Head of Data Science and AI


Contract – 12 months

Hybrid – Somerset – 3 days per week onsite

Rate - £800 - £1100 per day (inside IR35)


Active & transferrable SC Clearance preferred (or must be eligible to undergo clearance)


A Head of Data Science and AI is needed to drive data efficiency and embrace automation to improve performance and introduce new capabilities. The role is responsible for strategising the use of data science and AI automation to deliver efficiency and customer benefits.

The incumbent will lead a team of data scientists and help build capability and skills, set objectives, and provide support with project delivery. You will provide leadership on AI governance, the use of AI applications, and the procurement of 3rd party products.

Key Skills & Experience:

  • Expert in data science and machine learning, including a range of techniques such as supervised (e.g. decision trees, random forests), unsupervised (e.g. clustering) , and deep learning.
  • Expert knowledge of exploratory data analysis and statistical analysis of large datasets.
  • Solid experience in machine learning ops and A/B testing different models.
  • Expert knowledge of responsible and ethical AI practices.
  • Experience in languages such as Python, R, and C++.
  • Experience of innovating and solving business problems through the application of data science or machine learning.
  • Experience of measuring the benefits of data science solutions and roadmapping improvements.
  • Experience of leading projects and teams.

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.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.