{"id":682313,"url":"https://alion.io/job/streamhub-senior-data-scientist","title":"Senior Data Scientist","company":{"id":690414,"name":"Stream Hub","domain":"streamhub.co.uk","url":"https://alion.io/company/streamhub","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":55},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-07-27T05:57:18Z","employer_posted_date":"2026-07-27","last_verified_at":"2026-10-13T10:36:08Z","board_verified":true,"closed_at":null,"days_open":78,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":78},"description":"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.\nWe are in a growth phase, expanding our teams across Bangalore, London and Tokyo to reinforce our international and entrepreneurial culture.\nRole Overview\nWe are hiring a Data Scientist with proven industry experience in media, advertising, or adtech - particularly in:\nForecasting models for inventory planning\nImpressions, reach and campaign performance prediction\nSupply-demand modelling in TV and OTT environments\nDeduplication models for reach and frequency across linear TV, OTT, and digital platforms\nYou will design and deploy forecasting and optimisation models that directly impact revenue, inventory management and campaign planning for media owners and advertisers.\nThis is not an academic role - we are looking for someone who has built and shipped production models in a commercial media environment.\nWhat you'll do\nBuild and scale statistical and ML models for large audience datasets (TV, OTT, CTV), ensuring performance, reliability, and production readiness, including:\n- Statistical models (e.g., NBD, regression-based methods) for behaviour, frequency, and reach estimation\n- Deduplication and cross-platform reach estimation models\n- Forecasting models for inventory, impressions, reach, and campaign delivery\n- Predictive models for audience measurement and planning\n- Churn prediction models for retention and engagement analysis\n- Clustering models for audience segmentation and targeting optimisation\nDesign and implement planning and allocation algorithms for campaign optimisation and yield management\nTranslate business problems (pricing, allocation, yield optimisation) into scalable data science solutions\nWork closely with product and engineering to productionise and integrate models into decision systems\nContribute to AI-driven feature development across planning and measurement\nWhat we're looking for\n5+ 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\nHands-on experience building forecasting models for inventory or media planning or deduplication\nStrong programming skills in Python and SQL, with hands-on experience in production ML systems\nSolid foundation in statistical and ML methods, including time-series modelling, regression, probabilistic forecasting, and optimisation techniques\nUnderstanding of impressions, reach, GRPs/TVR, digital ad metrics\nNice to Have:\nExperience working with audience measurement or cross-media data\nKnowledge of supply forecasting in linear TV or streaming\nExperience deploying models in cloud environments\nWhy join Streamhub?\nWork on real media datasets at scale and see your ideas come to life\nInfluence product direction in a fast-growing international company\nEntrepreneurial culture with global exposure\nOpportunity to build foundational AI / modelling capabilities in next-generation media measurement\nThe Package\nCompetitive salary\nFull-time or Part-time position\nStrong learning opportunities within an open, diverse, and experienced team\nFlexible hybrid working style\n28 days’ holiday including public holidays\nHealth insurance and pension cover\nWe 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. 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