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
Oxford
3 days ago
Create job alert
Overview

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.

Role

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.

Responsibilities
  • Lead the delivery of high quality analysis that drives strategic and operational decisions.
  • Develop frameworks for tracking performance, measuring outcomes and running testing.
  • Translate complex data into clear and actionable insights.
  • Support product innovation by exploring and implementing new AI/ML approaches.
  • Establish and scale best practices for making data accessible, reliable and actionable; expand the use of self-service analytics.
  • Ensure data and insights are available to inform strategic and operational decisions.
  • Lead and mentor a high-performing data analytics team.
Qualifications
  • The successful candidate will have at least 5 years of 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.
Desirable background

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

Location and type

Remote (fully), London, England, United Kingdom (references indicate remote-first with collaboration expectations).


#J-18808-Ljbffr

Related Jobs

View all jobs

Head of Data Science & Analytics

Head of Data Science & Analytics

Head of Data Science & Analytics

Head of Data Science & Analytics

Head of Data Science & Analytics

Head of Data Science & Analytics

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 the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.