Senior Data Scientist

Design, build, and deploy forecasting and optimisation models impacting revenue and inventory management for media owners and advertisers.

Develop and scale statistical and ML models for large audience datasets across TV, OTT, and CTV platforms, ensuring production readiness.

Translate business problems such as pricing, allocation, and yield optimisation into scalable data science solutions integrated with product and engineering teams.

Minimum 5 years of experience in media industry roles involving research or data science/analysis.

Proven hands-on experience building forecasting models for inventory or media planning or deduplication models.

Strong programming skills in Python and SQL with experience in production ML systems.

Solid knowledge of statistical and ML methods including time-series modelling, regression, probabilistic forecasting, and optimisation techniques.

Experienced professional from media, advertising, or adtech sectors who has delivered production-ready models affecting commercial outcomes.

Practitioner skilled in working with audience measurement, cross-media datasets, and supply-demand modelling in TV and OTT environments.

Capability to work closely with product and engineering teams to integrate AI-driven features and optimisation algorithms into media planning systems.