Streamhub is a global analytics platform powering total audience measurement, planning and targeting for TV and streaming services. Our mission is simple: make video data actionable and accessible for the entire media ecosystem. We work with broadcasters, streaming platforms and advertisers in multiple countries, combining advanced analytics, AI and scalable engineering to solve complex problems in the advertising value chain.
We are in a growth phase, expanding our teams across Bangalore, London and Tokyo to reinforce our international and entrepreneurial culture.
Role Overview
We are hiring a Data Scientist with proven industry experience in media, advertising, or adtech — particularly in:
Forecasting models for inventory planning
Impressions, reach and campaign performance prediction
Supply-demand modelling in TV and OTT environments
Deduplication models for reach and frequency across linear TV, OTT, and digital platforms
You will design and deploy forecasting and optimisation models that directly impact revenue, inventory management and campaign planning for media owners and advertisers.
This is not an academic role — we are looking for someone who has built and shipped production models in a commercial media environment.
What Youll Do
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
What Were Looking For
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
Nice To Have
Experience working with audience measurement or cross-media data
Knowledge of supply forecasting in linear TV or streaming
Experience deploying models in cloud environments
Why join Streamhub?
Work on real media datasets at scale and see your ideas come to life
Influence product direction in a fast-growing international company
Entrepreneurial culture with global exposure
Opportunity to build foundational AI / modelling capabilities in next-generation media measurement
The Package
Competitive salary
Full-time position
Immense learning working with open, diverse, and experienced colleagues in an entrepreneurial team culture.
Flexible hybrid working with 2-3 days at office as needed
28 days holiday including public holidays
Health insurance and pension cover
Thank you for your interest in Streamhub!
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.
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