Data Scientist (ML)

TL;DR

Data Scientist (ML): Building and optimizing data solutions for decision-making across European markets with an accent on delivering trusted insights, advanced analytics, and scalable data solutions. Focus on translating complex datasets into clear, actionable insights for commercial problems and collaborating cross-functionally.

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

Company

hirify.global is a media business focused on creating content for millions of people across Europe, operating over 150 radio and podcast brands and publishing brands globally.

What you will do

• Develop decision-support tools and dashboards analysing sell-through, reach, revenue, and market trends.
• Build analytical frameworks that evolve into predictive or optimisation models (revenue, pricing, inventory forecasting, listener segmentation, 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 and collaborate with cross-functional teams.

Requirements

• 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 (scikit-learn, XGBoost).
• Experience with modern cloud data stacks (e.g., Snowflake, BigQuery).
• 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.

Culture & Benefits

• 28 days holiday, bank holidays & 2 volunteer days.
• Access to internal training provider – Bauer Academy.
• Enhanced Maternity/Adoption, Paternity and Shared Parental Leave Pay.
• Opportunity for flexible working.