Case Study: Capgemini achieves 75% faster hiring with iMocha's automated skills assessments

How Capgemini saved 75% hiring time by using iMocha’s automated skills assessments to vet data scientists

Capgemini, a global leader in consulting and digital services, needed to scale its Data Science team but faced long time-to-hire, over-reliance on resumes, and hiring managers spending excessive hours vetting candidates for R and Python roles. To address this bottleneck, Capgemini turned to iMocha and its automated Data Science assessments (available in R and Python).

iMocha’s solution delivered coded assessments and skills-wise reports to candidates, eliminating manual screening and surfacing top performers for interviews. As a result, Capgemini cut hiring manager vetting time from 24 to 6 hours per month (about a 75% reduction), reduced average time-to-hire from one week to four days, and began rolling out offers faster — prompting other Digital Services teams to adopt iMocha as well.

Capgemini