Data science comes from the recent merging of three active fields: computer science and data technology, mathematics and statistics and, finally, a business field, in our case, the insurance industry. This merging as well as progress of technology in terms of internet availability and capacity storage led to the formalization of data science. People’s interest in this topic increased for the last ten years and many data-driven business models emerged in the industry. Making the best use of the data available became more and more of a critical strategy for every company. Insurance firms also started to set up these kind of practices to improve their services and, more generally, to create value. We can summarize by saying that data science consists of collecting, decrypting and analyzing heterogeneous data for practical use cases.