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Senior Data Scientist – Anti-Fraud & Quality Intelligence
Location: Reading, King’s Road
Posted: 2 Days ago
Job Type: Regular
Ref: R095723
A group of five people are sat on a grey sofa, with an array of abstract pictures in frames behind them. From left to right. A black woman is sat on the arm of the sofa. She is wearing a black T-Shirt and red skirt. Next is a white male, wearing blue jeans and a navy shirt. In the middle is a blonde lady wearing a bright pink shirt, jeans and white trainers. Fourth is another man, also wearing a navy shirt and blue jeans. Sat on the other arm of the sofa is a woman in black jeans, white trainers and a brown top.

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.

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Apply Now
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