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