What’s inside?
What we discuss in this simple handbook:
- What fraud data scientists do and the terms they use
- How to work cross-functionally on fraud data science
- The tools used by top-performing fraud data scientists
- Bonus! The ultimate ML + fraud data science glossary
Why download?
Data science is one of the fastest growing fields of knowledge in business, and its importance for fraud detection cannot be overlooked by modern experts.
This document provides an introduction to the work of data scientists in the context of using machine learning to fight fraud in digital businesses, including financial services, ecommerce, and social networks. It discusses the main activities, goals, and challenges at play in the intersection of data science and fraud detection with the main purpose of facilitating communication between data scientists and engineers and the other members of fraud prevention teams.
Year-After-Year,
the Industry’s Choice
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About DataVisor
DataVisor is the AI-native real-time decisioning engine for fraud and financial crime prevention.
As AI transforms both fraud attacks and fraud defense, DataVisor helps financial institutions, payment providers, and digital businesses detect, investigate, and stop sophisticated and previously unseen threats in milliseconds across billions of transactions. Combining adaptive machine intelligence, consortium intelligence, and emerging agentic AI capabilities, DataVisor enables organizations to modernize fraud operations, improve customer experience, and stay ahead of rapidly evolving financial crime. DataVisor is trusted by leading financial institutions, payment innovators, Fortune 500 enterprises, and digital businesses worldwide.