Senior Data Scientist - Anti-Fraud & Quality Intelligence
Role details
Job location
Tech stack
Job description
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., * AWS (current environment)
- Redshift
- Postgres
- DBT
- Grafana
- PowerBI
?Note: The company is transitioning towards Azure for new development.
Requirements
- 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.
