Senior Data Scientist

• →Build and scale statistical and ML models for large audience datasets (TV, OTT, CTV), ensuring performance, reliability, and production readiness, including:

- Statistical models (e.g., NBD, regression-based methods) for behaviour, frequency, and reach estimation

- Deduplication and cross-platform reach estimation models

- Forecasting models for inventory, impressions, reach, and campaign delivery

- Predictive models for audience measurement and planning

- Churn prediction models for retention and engagement analysis

- Clustering models for audience segmentation and targeting optimisation

• →Design and implement planning and allocation algorithms for campaign optimisation and yield management
• →Translate business problems (pricing, allocation, yield optimisation) into scalable data science solutions
• →Work closely with product and engineering to productionise and integrate models into decision systems
• →Contribute to AI-driven feature development across planning and measurement

• 5+ years of experience in the media industry (research company, broadcaster, media company, agency, or audience measurement/analytics platforms), working in the capacity of research or data analysis/science
• Hands-on experience building forecasting models for inventory or media planning or deduplication
• Strong programming skills in Python and SQL, with hands-on experience in production ML systems
• Solid foundation in statistical and ML methods, including time-series modelling, regression, probabilistic forecasting, and optimisation techniques
• Understanding of impressions, reach, GRPs/TVR, digital ad metrics

• Experience working with audience measurement or cross-media data
• Knowledge of supply forecasting in linear TV or streaming
• Experience deploying models in cloud environments

• Competitive salary
• Full-time or Part-time position
• Strong learning opportunities within an open, diverse, and experienced team
• Flexible hybrid working style
• 28 days’ holiday including public holidays
• Health insurance and pension cover

We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.