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

Apply Now

Senior Data Scientist

Harnham
Newcastle upon Tyne
3 weeks ago
Create job alert

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

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Personalisation/Segmentation

Senior Data Scientist

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.