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.