Director of Data Science (London Area)

Merlin Entertainments
London
4 weeks ago
Applications closed

Related Jobs

View all jobs

SVP/Senior Director of Data Science - GenAI (relocate to UAE, tax free)

Senior Data Science Director, London

Director-Data Science and Analytics

Data Science Analyst

Lead Data Scientist[975963]

Marketing Machine Learning Engineer (Greater London)

Director of Data Science

Location: London, Hybrid (flexible remote options)

Position: Permanent


Join us at Merlin Entertainments as we transform the future of digital guest experiences across our iconic global attractions.


About the Role

Are you interested in joining a leading organisation dedicated to creating experiences for customers across the globe? With an established history and a commitment to creativity and cutting-edge technology, we are seeking a driven Director of Data Science to play a pivotal role in shaping the way data is understood and utilised across the organisation on a global scale.


As a Director of Data Science reporting to the SVP of Global Data, you will be responsible for defining and implementing the global data science strategy for Merlin. This will facilitate the use of huge datasets to build predictive models and generate actionable insights for the business. The introduction of AI and Machine Learning is especially important to explore the improvement of internal processes, customer experiences and revenue generation.


Key Responsibilities as Director of Data Science:


  • Design and execute a forward-thinking data science vision that tightly aligns with the organisation’s mission, embedding advanced analytics and AI as central pillars in the decision-making processes.
  • Cultivate a strong data-first mindset by embedding AI, machine learning, and predictive modelling into business operations to tackle complex challenges and inform smarter strategies.
  • Recruit, inspire, and develop a skilled team of Data Scientists while nurturing a collaborative, growth-oriented environment that facilitates continuous skill enhancement and innovation.
  • Supervise the end-to-end lifecycle of analytical initiatives from concept to scalable implementation, ensuring projects are delivered efficiently and aligned with key business goals.
  • Partner with diverse teams across the organisation such as IT, Product, and Marketing to ensure data solutions are practical, targeted, and designed for measurable impact.
  • Act as a strategic consultant to business stakeholders, offering data-informed guidance and translating analytical outputs into meaningful actions and opportunities.
  • Continuously explore and integrate new methodologies, tools, and trends within the data science space, while championing experimentation and thought leadership internally and externally.
  • Collaborate with data engineering and governance functions to maintain rigorous standards around data accuracy, responsible use, regulatory compliance, and ethical AI practices.


Interview Process:

  • Recruiter Call
  • Hiring Manager Intro
  • 1-2 stage Panel Interview


Our recruitment process typically takes around 4-5weeks, but we’re always happy to work around your availability. You’ll have the opportunity to be supported by our external recruitment partner at different stages along the way.


Benefits

We’re growing fast and alongside a fun and friendly environment, we offer a fabulous package and amazing prospects. Benefits include Pension, Life Assurance, discretionary company bonus, 28 days’ holiday and, of course, a Merlin Magic Pass which gives you and your friends and family free admission to all of our attractions worldwide, as well as 25% discount in our retail shops and restaurants and 40% discount on LEGO.


At Merlin Entertainments, we’re committed to creating a workplace where everyone feels valued and supported. Diversity and inclusion are central to how we work — we celebrate individuality and strive to build an environment where everyone can thrive.


We’re proud to be an equal opportunities employer, welcoming applications from all backgrounds and identities, including age, ethnicity, gender, disability, neurodiversity, sexual orientation, family or parental status, religion, and veteran status.



*Unfortunately, due to the high volume of applications, not all applicants will receive feedback*

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.

How to Write a Winning Cover Letter for AI Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for AI jobs with this proven 4-paragraph structure. Perfect for junior developers and career switchers. When applying for an AI job, your cover letter can make all the difference. For many, the process of writing a cover letter for an AI position can be daunting, especially when there are so few specific guides for tailoring it to the industry. However, a clear, effective structure combined with AI-specific language and examples can help you stand out from the competition. Whether you're a junior entering the field or a mid-career professional switching to AI, the following framework will make it easier for you to craft a compelling cover letter. In this article, we’ll take you through a proven four-paragraph structure that works and provide sample lines that you can adapt to your personal experience.