Head of Data Science

Wyatt Partners
City of London
2 weeks ago
Create job alert

A Head of Data Science is the next key strategic hire for a rapid growth startup company in the retail industry with a global reach.

They have grown from 2 people to 30 people in 2 and a half years, and have seen strong revenue growth! The company are cash rich, but data strategy poor.

What’s great about this Head of Data Science role
  • You get the opportunity to develop a data science platform and a team from scratch (immediate need to hire further data scientists when you join)
  • The company is rich in untapped customer data offering huge opportunities to create value
  • You will work closely with world class engineers to develop a new data warehouse
  • Budget and bandwidth available to develop new products and services utilise the best commercial software
  • Working directly with the CMO, and also the founder of the business (an MIT grad!)
  • You will need to be a top class Statistician
  • You will likely have done a very numerate degree or master. You may even have a Quantitative PhD
  • You will have experience of working with large customer databases & datasets, and be able to give examples of the business value you have created from them
  • You will have experience of coding & software development
  • You must be excited by the opportunity to build a data science capability from scratch, and someone who is very ambitious to reach the top of their field.
  • You will be a strong communicator at all business level / strong commercial acumen

You may not be at that point yet, but this Head of Data Science role can offer the right candidate the chance to develop their career and reach a point where they are seen as a top performer & international expert in their field.

The Head of Data Science will join a company that is growing rapidly, and is already generating huge profits despite not having even reached series B funding. They may not even need it.


#J-18808-Ljbffr

Related Jobs

View all jobs

Head of Data Science

Head of Data Science

Head of Data Science — Hybrid Leader, £160k+ Bonus

Head of Data Science (hands on) – FinTech

Head of Data Science - Fintech

Head of Data Science - Fintech

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 AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.