Head of Data Science

Wyatt Partners
City of London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Head of Data Science

Head of Data Science, AI & Advanced Analytics Strategy

Head of Data Science - Advanced Analytics & AI

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

Head of Data Science & Analytics, Product & Marketing

Head of Data Science -Telematics

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

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 Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.