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

Apply Now

Head of Data Science and Innovation

hays-gcj-v4-pd-online
united kingdom
6 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Head of Data Science

Head of Data Science

Head of Data Science (34932) -

Head of Data Science

Head of Data Science

Your new role

The Head of Data Science and Innovation will spearhead the development and integration of cutting-edge AI models and data-driven solutions for the Group. This role is critical in positioning the organisation at the forefront of AI and data science innovation, while fostering a culture of continuous learning and technological advancement.

What you'll need to succeed
Key Responsibilities:

Enable access to state-of-the-art AI models across the Group. Establish and scale a robust Data Science and AI practice tailored to the business's needs. Educate and empower staff by showcasing the capabilities of Data Science and Machine Learning. Collaborate with business leaders to identify and develop new AI use cases that drive value. Deliver and operationalise the "Next Best Action" model for EA operations to enhance decision-making. Build and implement Agentic AI capabilities to transform processes and improve efficiencies.

Skills and Experience Required:Proven experience in leading Data Science and AI teams.Strong expertise in Machine Learning, AI model development, and deployment.Exceptionalmunication skills to educate and engage non-technical stakeholders.A track record of delivering innovative AI solutions in a business environment.Strategic thinking with the ability to collaborate across departments and drive innovation.

What you'll get in return
Flexible working options available.

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.