Head of Data Science

London
1 month ago
Applications closed

Related Jobs

View all jobs

Associate Director, AI & Advanced Analytics

Head of Data Science

Salary: £140K-£160K

Location: London (Hybrid)

Data Idols are partnered with a digitally-led organisation that is investing heavily in data and machine learning as a core driver of commercial performance and competitive advantage.

They are now seeking a Head of Data Science to define and lead the next phase of their ML capability. This is a strategic leadership role focused on building a scalable, high-impact data science function that consistently delivers measurable business outcomes.

This is not a hands-on individual contributor role. It is a mandate to shape strategy, build capability, and ensure machine learning directly influences revenue, margin, customer experience, and operational performance.

The Opportunity

You will define and execute a company-wide data science and machine learning strategy, ensuring investment is tightly aligned to commercial priorities and measurable business outcomes. You will build and lead a high-performing data science function, establishing clear standards, prioritisation frameworks and performance metrics, and positioning machine learning as a long-term strategic differentiator for the organisation.

Skills & Experience

Experience operating at scale where ML directly influences commercial performance
A track record of building and leading high-performing data science teams
Strong stakeholder management skills, with the ability to influence at a senior level
A solid technical foundation as a former hands-on data scientistThis is an opportunity to shape machine learning as a strategic lever within a scaling, commercially sophisticated organisation. Please submit your CV for consideration.

Head of Data Science

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.