Data Scientist
Role overview
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.
Responsibilities
- check_circle Develop decision‑support tools and dashboards analysing sell‑through, reach, revenue, and market trends.
- check_circle Build analytical frameworks that evolve into predictive or optimisation models.
- check_circle Support prediction and optimisation work including revenue, pricing, and inventory forecasting; listener segmentation; and ad‑scheduling.
- check_circle Contribute to A/B testing, causal inference, and uplift modelling.
- check_circle Build and maintain Tableau dashboards across revenue management, digital audio, and competitions.
- check_circle Automate reporting pipelines and promote a self‑serve analytics culture.
- check_circle Present insights clearly to technical and non‑technical audiences.
- check_circle Collaborate with commercial, digital media, revenue management, and consumer competitions teams.
- check_circle Translate business questions into data‑driven use cases such as pricing, segmentation, churn, and optimisation.
- check_circle Partner with Engineering and Platform teams to integrate models into systems.
- check_circle Proven experience in data analytics or data science, ideally within media, audio, digital, or revenue‑driven environments.
- check_circle Strong experience with Python, SQL, and ML toolkits such as scikit‑learn and XGBoost.
- check_circle Experience with modern cloud data stacks (e.g., Snowflake, BigQuery).
- check_circle Comfortable working with Git, Jupyter, Airflow, and agile practices.
- check_circle Strong grounding in BI tools such as Tableau or Power BI.
- check_circle Experience with pricing, supply/demand dynamics, inventory management, or yield optimisation.
- check_circle Familiarity with modern tooling such as AutoML, vector databases, APIs, or cloud platforms.
- check_circle Strong relationship‑building skills across commercial, product, and operational teams.
About the company
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.