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

Apply Now

Head of Data Science & Analytics

Millfield Recruitment Group
Glasgow
1 week ago
Applications closed

Related Jobs

View all jobs

Data Science Lead

Lead Product Data Analytics

Lead Product Data Analytics

Head of Business Intelligence - Leeds

Head of Business Intelligence - Leeds

Product Data Science Lead

Head of Data Science & Analytics


£80,000 - £90,000 per annum


Fully Remote


My client is a leading EdTech business in the UK that empowers educators to create interactive and customizable teaching materials in minutes, turning static lessons into dynamic, student-centred learning experiences. With millions of active users across the globe, strong organic growth and a beloved product by teachers, the company is entering an exciting new chapter as they drive innovation through emerging technologies such as AI to build an even more powerful product.


The Head of Data Science & Analytics will build and lead the team that powers data driven decision making across the business. The role will be responsible for establishing best in class data practices and analysis, improving data accessibility and enabling every business function to leverage insights for smarter decision making.


Day to day you will be responsible for leading the delivery of high quality analysis that drives strategic and operational decisions; develop frameworks for tracking performance measuring outcomes and running testing; translating complex data in clear and actionable insights. You'll be supporting product innovation by exploring and implementing new AI/ML approaches. You'll establish and scale best practice for making data accessible, reliable and actionable as well as expand the use of self service analytics, ensure data and insights are available to inform strategic and operational decisions. You will also lead and mentor a high performing data analytics team.


  • The successful candidate will have at least 5 years experience in data science and analytics and will have had some previous experience managing a team.
  • Proven expertise in applied data analysis and a deep understanding of experimentation, statistical modelling, and advanced analytics.
  • Hands-on experience with MLOps practices, cloud environments (AWS or Azure), and classical ML model deployment.
  • Proficiency in Python, SQL, modern data science tools/platforms and BI tools.
  • Experience enabling data accessibility and self service analytics at scale.


Ideally you'll have a background in SaaS, EdTech or a similar industry along with experience of integrating advances analytics or AI/ML into customer facing products. This is an fantastic opportunity to join a market leader in the field of EdTech using the most advanced technology for their continued product innovation. The role is fully remote but the team are highly collaborative and inclusive and are looking for someone with as much passion as them for delivering the best product possible.

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.