Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

View Roles

Data Scientist

Kantar Group Limited
London
6 days ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Science Placement Programme

time left to apply End Date: September 7, 2025 (30+ days left to apply)

job requisition id R096307

Media help partners understand the changing advertising landscape. Specialising in audience measurement, consumer targeting and in-depth intelligence into paid, owned and earned media, their global coverage and local expertise enable better understanding of media audiences and their relationships with brands.

Kantar Media is a wholly owned but operationally independent part of the Kantar Group.

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 office. We operate in a hybrid capacity and require 2 days in the office. 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

  • Design, prototype, and optimise statistical and ML models for integration into production workflows.
  • Explore and apply LLMs and emerging AI techniques to enhance media and audience measurement use cases.
  • Collaborate with cross-functional teams to ensure model deployment is robust, scalable, and aligned with product goals.
  • Investigate large datasets to discover trends, resolve inconsistencies, and support high-quality insights.
  • Contribute to code reviews, design sessions, and documentation to maintain best practices in model development.
  • Take ownership of project areas while working in a collaborative, face-to-face, and iterative development environment.

Skills & Experience

  • Strong foundation in applied mathematics, statistics, or machine learning.
  • Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.).
  • Comfort working with large and complex datasets, including data wrangling and exploratory analysis.
  • Experience (or strong interest) in GPU-powered model development (e.g. using PyTorch, TensorFlow, JAX, or similar).
  • Demonstrated ability to work independently on real-world projects.
  • Strong communicator, with the ability to share ideas, take feedback, and collaborate effectively.
  • A master’s or PhD in a quantitative field (or equivalent real-world experience in data science or analytics).
  • Bonus: experience in at least one of the following areas:
    • Working with Marketing Mix Models (MMMs)
    • Practical applications of Large Language Models (LLMs) or NLP
    • Understanding of web technologies and identifiers (e.g. cookies, device IDs, MAIDs, 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

Country

United Kingdom

Media help partners understand the changing advertising landscape. Specialising in audience measurement, consumer targeting and in-depth intelligence into paid, owned and earned media, their global coverage and local expertise enable better understanding of media audiences and their relationships with brands.

Kantar Media is a wholly owned but operationally independent part of the Kantar Group.

#LI-KantarMedia

Job Details

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 office. We operate in a hybrid capacity and require 2 days in the office. 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

  • Design, prototype, and optimise statistical and ML models for integration into production workflows.
  • Explore and apply LLMs and emerging AI techniques to enhance media and audience measurement use cases.
  • Collaborate with cross-functional teams to ensure model deployment is robust, scalable, and aligned with product goals.
  • Investigate large datasets to discover trends, resolve inconsistencies, and support high-quality insights.
  • Contribute to code reviews, design sessions, and documentation to maintain best practices in model development.
  • Take ownership of project areas while working in a collaborative, face-to-face, and iterative development environment.

Skills & Experience

  • Strong foundation in applied mathematics, statistics, or machine learning.
  • Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.).
  • Comfort working with large and complex datasets, including data wrangling and exploratory analysis.
  • Experience (or strong interest) in GPU-powered model development (e.g. using PyTorch, TensorFlow, JAX, or similar).
  • Demonstrated ability to work independently on real-world projects.
  • Strong communicator, with the ability to share ideas, take feedback, and collaborate effectively.
  • A master’s or PhD in a quantitative field (or equivalent real-world experience in data science or analytics).
  • Bonus: experience in at least one of the following areas:
    • Working with Marketing Mix Models (MMMs)
    • Practical applications of Large Language Models (LLMs) or NLP
    • Understanding of web technologies and identifiers (e.g. cookies, device IDs, MAIDs, 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

Country

United Kingdom

Why join Kantar?

We pride ourselves on understanding people, and what makes us think and act the way we do.

And because we know people, we like to make sure our own people are being looked after as well. Equality of opportunity for everyone is our highest priority and we support our colleagues to work in a way that supports their health and wellbeing. While we encourage teams to spend part of their working week in the office, we understand no one size fits all; our approach is flexible to ensure everybody feels included, accepted, and that we can win together. We’re dedicated to creating an inclusive culture and value the diversity of our people, clients, suppliers and communities, and we encourage applications from all backgrounds and sections of society. Even if you feel like you’re not an exact match, we’d love to receive your application and talk to you about this job or others at Kantar.

About UsKANTAR

Kantar is the world’s leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, Kantar’s 25000 people help the world’s leading organisations succeed and grow.

Privacy

For information about how Kantar processes your personal data in the job application process, please clickhereto read our candidate privacy notice.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.

10 Machine‑Learning Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

With deep‑learning projects now integral across healthcare, finance and tech, UK demand for machine‑learning talent is booming. Lightcast shows +50 % YoY growth in UK adverts referencing “machine learning,” “deep learning,” “computer vision” or “reinforcement learning” in Q1 2025. Monthly vacancies sit around 1,800–2,100, but certified ML specialists number fewer than 15,000. Specialist recruiters help candidates access hidden roles, competitive packages, and structured interview prep. How we screened: Only UK‑registered agencies with clear ML/AI or Data practices Agencies that posted ≥ 5 UK ML roles between March and June 2025

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.