Head of Data Science

London
1 month ago
Applications closed

Related Jobs

View all jobs

Associate Director, AI & Advanced Analytics

Business / Data Analyst

Senor / Lead Data Engineer

Data Engineer

Data Engineer

Senior Data Engineer

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.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.