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
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.)
