Senior Data Scientist

Harnham
Birmingham
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - National Security (TIRE) based in Cheltenham/Hybrid

Senior Data Scientist

Remote (quarterly travel to London)

Up to £75,000


We are working with a well-established media group with a diverse portfolio of household brands spanning publishing, entertainment, and digital products. The business is investing heavily in analytics and data, with the aim of transforming how customers experience their products and services.


You’ll be the first Data Scientist to join a team currently made up of analysts and Data Engineers, reporting directly into the CDO. This is a role with real scope for impact - delivering high-value projects across multiple brands, helping prove the case for data science, and laying the groundwork for a team that will grow around you.


What you’ll be doing

  • Apply data science to varied datasets across multiple brands and business areas.
  • Lead on projects such as:
  • Content personalisation – enriching and tagging large content libraries with AI to deliver smarter recommendations.
  • Customer segmentation & clustering – building behavioural insights to improve targeting and retention.
  • CRM optimisation – shaping push notifications, email, and advertising strategies with data-driven solutions.
  • Research engine development – partnering with external agencies to enhance access to customer insights.
  • Identify where data science can make the biggest difference and communicate that impact clearly to stakeholders.
  • Collaborate with Analysts, a Data Engineer, and Project Managers, while working alongside established Data Scientists in another brand within the group.


About you

  • A couple of years’ data science experience (open to ambitious candidates ready to step up).
  • Strong communicator - able to explain the “why” behind the work, not just the “how”.
  • Ideally from a background where you’ve had to be hands-on and proactive, rather than just one cog in a large machine.
  • Experience with subscriptions, publishing, or digital products is a plus, but not essential.
  • Education is less important than curiosity, drive, and the ability to deliver.


The process

  1. Introductory interview
  2. Take-home exercise (2–3 hours)
  3. Presentation
  4. Final culture fit conversations with the wider team

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.

Jobs

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.

Education

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.

Jobs Careers

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.