Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Scientist - Anti-Fraud & Quality Intelligence

Kantar Group
Reading
3 weeks ago
Create job alert

We're the world's leading data, insights, and consulting company; we shape the brands of tomorrow by better understanding people everywhere.

Kantar's Profiles division is home to the world's largest audience network.

With access to 170m+ people in over 100 global markets, we offer unrivalled global reach with local relevancy. Validated by industry leading anti-fraud technology, Kantar's Profiles Audience Network delivers the most meaningful data with consistency, accuracy, and accountability - all at speed and scale.

Job Details

Kantar is seeking a highly skilled and motivated Senior Data Scientist to join our global team. This role is central to enhancing the quality and consistency of our 50+ survey panels across 40+ countries. These panels are composed of opted-in, fully consented consumers who provide valuable insights through online surveys. Your mission: to ensure the integrity of our data by detecting and preventing fraudulent activity, and to continuously improve the quality of our panellist pool.

In recent years, the market research industry has faced increasing threats from online fraud, particularly in incentivised markets. Fraudsters attempt to exploit survey systems for financial gain, and their tactics are constantly evolving. At Kantar, we are committed to staying ahead of these threats by investing in advanced data science solutions and fraud detection technologies.

This is a high-impact role with the opportunity to collaborate directly with Operational, Commercial, and Data Science leaders. You'll be part of a talented team of analysts, scientists, engineers, and developers, working on mission-critical systems that support our global research operations.

What You'll Do

  • Develop and deploy machine learning models to detect fraudulent panellists and improve panel quality.
  • Contribute to the full data science lifecycle: hypothesis generation, model development, deployment, and monitoring.
  • Analyse new data sources to identify opportunities for model enhancement and decision-making improvements.
  • Design and implement feedback loops to drive better data quality and commercial outcomes.
  • Apply supervised and unsupervised learning techniques to build scalable, production-ready solutions.
  • Collaborate with developers to ensure robust, high-availability systems that run 24x7x365.
  • Create and maintain data pipelines and monitoring tools.
  • Communicate technical insights to non-technical stakeholders, including senior commercial leaders.

What You'll Bring

  • 5+ years of experience in data science, including programming, data mining, and statistical analysis.
  • Proven experience in fraud detection, anomaly detection, or similar quality assurance domains.
  • Strong proficiency in Python and SQL; experience with R is a plus.
  • Solid understanding of statistical techniques and machine learning algorithms.
  • Experience with cloud platforms and services (AWS, EC2, S3, Redshift, Azure).
  • Familiarity with tools like PowerBI and Excel for stakeholder reporting.
  • Experience in industries with large consumer marketplaces (e.g. programmatic media, travel, financial services) is a plus.
  • Excellent problem-solving skills and a collaborative mindset.

Our Tech Stack

  • AWS (current environment)
  • Redshift
  • Postgres
  • DBT
  • Grafana
  • PowerBI

Note: The company is transitioning towards Azure for new development.

Why Join Us?

At Kantar, you'll be part of a global leader in data, insights, and consulting. You'll work on meaningful challenges, contribute to cutting-edge solutions, and help shape the future of market research. We offer a collaborative environment, opportunities for growth, and the chance to make a real impact.

Additional Information

Candidates must have the right to work in the UK.
We value diversity and encourage applicants from all backgrounds to apply.

#LI-LB2

Country

United Kingdom

Why join Kantar?

We shape the brands of tomorrow by better understanding people everywhere. By understanding people, we can understand what drives their decisions, actions, and aspirations on a global scale. And by amplifying our in-depth expertise of human understanding alongside ground-breaking technology, we can help brands find concrete insights that will help them succeed in our fast-paced, ever shifting world.

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.
#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist Consumer Credit

Senior Data Scientist

Senior Data Scientist Consumer Credit

Senior Data Scientist

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.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.