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Senior Data Scientist

Streamhub Limited streamhub.co.uk Open · verified Oct 24, 2026
Remote Bengaluru Full-time Senior Data Science

At a glance

Senior Data Science role at Streamhub Limited. Remote, India · full-time.

Pay not stated Data Scientist salary

RoleData Science
SenioritySenior
LocationBengaluru
WorkplaceRemote
EmploymentFull-time
PostedOct 5, 2026 · 2w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build production-ready statistical and machine-learning models using large TV, OTT and CTV audience datasets
  • Create models for reach deduplication, inventory and campaign forecasts, audience planning, churn and segmentation
  • Develop campaign allocation and planning algorithms to improve yield and optimise delivery
  • Turn pricing and allocation challenges into scalable models, then work with product and engineering to integrate them
  • Contribute AI features for media planning and measurement

What you bring

  • At least five years in media research, analysis or data science at a media, advertising or audience-measurement organisation
  • Hands-on work forecasting inventory or media plans, or developing reach-deduplication models
  • Strong Python and SQL skills, including experience putting machine-learning systems into production
  • A solid grasp of statistical and ML methods, plus media measures such as impressions, reach and GRPs/TVR

Who this fits

This suits a senior data scientist who has built and shipped models in a commercial media setting, rather than worked only in academia. The role is based in Bengaluru and offers flexible hybrid working.

From the employer

  • Senior Data Scientist

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 you'll 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 we're 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 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.

Opportunity

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Each morning you get everything that fits, strongest first.

Data ScienceRemote

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.