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Building Data Science and Machine Learning Teams in the UK | The Talent Driving The Data and AI Revolution

Lead Data Scientist – Competitions team

London – Hybrid

Up to £80,000

About the Role

We’re working with one of Europes largest media businesses as they look to expand a best-in-class data function. They’re now hiring a Lead Data Scientist to join their Competitions team - a high-impact, fast-moving group focused on driving listener engagement, participation, and revenue through interactive competitions and consumer promotions.

Role:

• Lead full-lifecycle data science projects within the Competitions domain — from discovery and modelling to deployment and business adoption.
• Design and implement models to forecast participation, optimise pricing and prize strategies, and segment audiences based on engagement patterns.
• Work closely with stakeholders in Consumer Promotions, Revenue Management, and Legal to ensure models are commercially effective and compliant.
• Embed experimentation, A/B testing, and uplift modelling into how the team runs campaigns and measures impact.
• Support the team with clear, explainable insights that can inform creative, operational, and compliance decisions.
• Mentor analysts and junior data scientists, and contribute to the wider data science capability across the business.
• Write clean, well-documented Python and SQL code, and collaborate with engineering teams to productionise models effectively.

What We’re Looking For

• 3+ years in applied data science roles, ideally with a strong commercial and product focus.
• Proven experience using data science to influence behaviour and drive performance in one or more of the following:
• Consumer competitions, prize draws, or gaming
• Revenue/yield management or dynamic pricing
• Digital media or entertainment
• Expertise in Python and SQL, with a strong grounding in statistical and machine learning techniques (e.g. scikit-learn, XGBoost, statsmodels).
• Experience working with modern cloud data stacks (e.g. Snowflake, BigQuery, Redshift) and transformation tools like dbt.
• Familiarity with A/B testing, causal inference, and techniques for forecasting or audience segmentation.
• Comfortable navigating complex, regulated environments with multiple stakeholders.
• A practical, value-driven mindset — able to balance experimentation with commercial urgency.

Please note - This role cannot offer sponsorship at this time.

If this role looks of interest, please apply below

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Science

• Industries

  Technology, Information and Media and Broadcast Media Production and Distribution

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