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Data Scientist
Location: London, Grays Inn Road
Posted: More than 30 days ago
Job Type: Regular
Ref: R096307
A group of four colleagues are relaxing in the breakout area. They are sat on green velvet steps on different levels. At the highest level is one man and one woman. He is wearing a black T-Shirt, light blue jeans and is holding a yellow mug. His female colleague is wearing a blue jumpsuit and has a red mug. On the lower level there is a female colleague wearing a yellow blouse and holding a black mug. Finally, there is a male colleague in a white shirt and jeans; he is looking up at those sat above him.

As people increasingly move across channels and platforms, Kantar Media’s data and audience measurement, targeting, analytics and advertising intelligence services unlock insights to inform powerful decision-making.

Working with panel and first-party data in over 80 countries, we have the world’s fastest growing cross-media measurement footprint, underpinned by versatility, scale, technology and expertise, to drive long-term business growth for our clients and partners.

Job Title: Data Scientist

Location: London

Work pattern: Full time/Permanent/Hybrid working
 

#LI-Hybrid #LI-EH2 #LI-KantarMedia


This is a full-time permanent position, based in our London offices across Gray’s Inn Road and Hanger Lane. This role is based in the office 2 days a week. All applicants must have the legal right to live and work in the UK.

Role Description:  

We’re looking for a data scientist who thrives on solving complex, real-world problems using data—and wants to have a meaningful impact on the future of media.

This role sits at the heart of cutting-edge audience measurement research, where you'll help shape how the world’s leading broadcasters, advertisers, and platforms understand and connect with audiences. You’ll work on high-

impact initiatives that drive innovation across the media ecosystem, including:

  • Integrating large and diverse datasets from panels, census-level sources, digital platforms, and global partners.
  • Developing GPU-powered algorithms for high-performance modelling at scale.
  • Exploring applications of Large Language Models (LLMs) in media and measurement contexts.
  • Designing and implementing machine learning solutions that enhance our product capabilities and operational intelligence.

As part of a collaborative and technically strong team, you’ll work closely with engineers, product managers, and fellow scientists. We value initiative, curiosity, and real-world impact—this is a great fit for someone who wants to build, experiment, and push boundaries in applied data science.

Key Responsibilities

  • Help design and improve statistical and machine learning (ML) models used in real products.
  • Explore new AI tools, like Large Language Models (LLMs), to improve how we measure media and audiences.
  • Work closely with different teams to make sure models are reliable, scalable, and meet business needs.
  • Analyse large datasets to find trends, fix data issues, and support insights.
  • Participate in code reviews, design discussions, and write documentation to support good development practices.
  • Take responsibility for parts of projects while collaborating with others in person and in short development cycles.

Skills & Experience

  • Good understanding of math, statistics, or ML basics.
  • Hands-on experience with Python and data tools (like pandas, NumPy, scikit-learn).
  • Comfortable working with large datasets—cleaning, exploring, and analyzing data.
  • Interest or experience with using GPUs and frameworks like PyTorch, TensorFlow, or JAX.
  • Able to work independently and contribute to real-world problems.
  • Good communication skills—you can explain your ideas and work well in a team.
  • A degree in a quantitative subject (or similar experience in data science or analytics).

Nice to Have (Bonus)

  • Experience or knowledge in any of the following:
    • Marketing Mix Models (MMMs)
    • Using LLMs or natural language processing (NLP)
    • Understanding how web tracking works (cookies, device IDs, etc.)

Our offer

At Kantar we have an integrated way of rewarding our people based around a simple, clear, and consistent set of principles. Our approach helps to ensure we are market competitive and to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver.

We go beyond the obvious, using intelligence, passion, and creativity to inspire new thinking and shape the world we live in. Apply for a career that’s out of the ordinary and join us.

We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted, and are allowed to flourish in a space where their mental health and wellbeing is taken into consideration.  We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes.

At Kantar, the diversity of our employees provides a richer environment for our employees and broader depth and breadth of thinking for our clients.  Kantar is committed to inclusion and diversity; therefore, we welcome applications from all sections of society and do not discriminate because of age, race, religion, gender, pregnancy, sexual orientation, gender identity, disability, marital status, or any other legally protected characteristics.

Privacy and Legal Statement

PRIVACY DISCLOSURE: Please note that by applying to this opportunity you consent to the personal data you provide to us to be processed and retained by The Kantar Group Limited (“Kantar”). Your details will be kept on our Internal ATS (Applicant Tracking System) for as long as is necessary for the purposes of recruitment, which may include your details being shared with the hiring manager(s) and for consideration for potential future opportunities by Kantar and its affiliate Kantar group companies. For full details of our privacy policy please visit www.kantar.com

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