Data Scientist

Select how often (in days) to receive an alert:

Location: London, Hybrid (1 day/week onsite)

Contract Type: Full-time, Permanent

The Data & Decision Sciences (DDS) team sits at the heart of Bauer Media Audio, powering decision‑making across nine European markets. Our mission is to use data as a strategic enabler by delivering trusted insights, advanced analytics, and scalable data solutions that support growth, audience engagement, and operational efficiency. We operate as a collaborative, cross‑functional partner to the business, combining central expertise with local market knowledge.

Data is not just a support function here; it is an integral business partner that shapes strategy, unlocks opportunities, and drives meaningful impact across the organisation.

We’re looking for a curious, analytical, and detail‑driven Data Scientist to join our Commercial data team. In this role, you’ll begin with a strong analytics focus, laying the foundations for future predictive and optimisation modelling, while working closely with both technical and commercial teams to ensure data is used effectively to improve performance and decision‑making. You’ll translate complex datasets into clear, actionable insights that support key areas such as Sales, Operations, and Finance, and you’ll thrive if you enjoy solving real‑world commercial problems and collaborating cross‑functionally in a fast‑paced environment.

• Develop decision‑support tools and dashboards analysing sell‑through, reach, revenue, and market trends.
• Build analytical frameworks that evolve into predictive or optimisation models.
• Support prediction and optimisation work including revenue, pricing, and inventory forecasting; listener segmentation; and ad‑scheduling.
• Contribute to A/B testing, causal inference, and uplift modelling.
• Build and maintain Tableau dashboards across revenue management, digital audio, and competitions.
• Automate reporting pipelines and promote a self‑serve analytics culture.
• Present insights clearly to technical and non‑technical audiences.
• Collaborate with commercial, digital media, revenue management, and consumer competitions teams.
• Translate business questions into data‑driven use cases such as pricing, segmentation, churn, and optimisation.
• Partner with Engineering and Platform teams to integrate models into systems.

• Proven experience in data analytics or data science, ideally within media, audio, digital, or revenue‑driven environments.
• Strong experience with Python, SQL, and ML toolkits such as scikit‑learn and XGBoost.
• Experience with modern cloud data stacks (e.g., Snowflake, Big Query).
• Comfortable working with Git, Jupyter, Airflow, and agile practices.
• Strong grounding in BI tools such as Tableau or Power BI.
• Experience with pricing, supply/demand dynamics, inventory management, or yield optimisation.
• Familiarity with modern tooling such as AutoML, vector databases, APIs, or cloud platforms.
• Strong relationship‑building skills across commercial, product, and operational teams.

We are a media business focused on creating content that matters to millions of people across Europe. Our offering extends from print and online publishing to audio broadcasting and entertainment, alongside investments in other media related sectors. With more than 500 million copies sold each year, we are one of Europe’s largest Publishers. From women’s and celebrities’ magazines to TV listings to food and special interest, we own some of the most popular publishing brands in Germany, UK, Poland and France – both digital and print.

But not only that. Reaching over 61 million listeners weekly, we operate over 150 radio and podcast brands in nine countries, spanning the UK, Ireland, Poland, Slovakia, Denmark, Sweden, Finland, Norway and Portugal. Family‑owned in the 5th generation, Bauer Media focuses on the long‑term, with a consumer‑first mindset that guides us across our diverse portfolio. Our workforce of 12,000 shares a common purpose: to deliver content and services that enrich people’s everyday lives.

• You’ll have 28 days holiday, bank…