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

Apply Now

Data Science Lead

Graduate Recruitment Bureau
Brighton
1 year ago
Applications closed

Related Jobs

View all jobs

Data Science Lead

Data Science Lead

Data Science Lead, Research Analytics

Lead Data Scientist

Senior Team Leader - Data Science

Lead Data Science Engineer

A leading eCommerce business, known for their history of driving innovation and industry disruption.

Take the next step in your career and join one of the world's largest, pioneering and award-winning e-commerce retailers, then look no further than this exciting role as a Data Science Lead.

With a superb progression path, inclusive environment and "no idea is a bad idea" philosophy, this opportunity really is one like none other.

**The Role**

This position comes with a high level of autonomy in how you set the approach of the team on specific business problems, and how to seek out innovative solutions.

You will lead the report to the Director of data, while leading the data science team and ensuring their full value is unlocked. The expectation is that you identify, manage and supervise projects that touch all areas of the business - from marketing to supply chain - elevating the level of sophistication of analytics and modelling.

You’ll be collaborating with a range of stakeholders including those in online merchandising, where you will be thinking about product recommendation & optimising space on the website and those in trading and buying, as you look to reflect pricing policies and promotions and understand cannibalisation. When working with members of the Customer and Marketing world, you’ll be likely to use a combination of Market Mix Modelling & Attribution Modelling techniques.

The successful candidate will have:

Experience leading projects involving large datasets and complex statistical techniques Working with stakeholders and able to communicate effectively with non-technical persons The ability to translate complex business problems into achievable data science projects A deep understanding of key statistical concepts and machine learning techniques to solve complex problems. Familiarity with Cloud computing and experience with overseeing end-to-end development of data science projects in a Cloud environment. A strong academic record including a postgraduate degree in mathematics, statistics, or the sciences

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.