Case Study: Capgemini achieves faster, more accurate technical hiring with iMocha assessments

A iMocha Case Study

Preview of the Capgemini Case Study

Capgemini leveraged iMocha assessments to optimize their technical recruitment process

Capgemini, a global leader in consulting and technology services, needed to expand its Data Science team but faced slow candidate vetting, a high time-to-hire, and heavy involvement from hiring managers. To streamline technical recruitment, Capgemini turned to iMocha assessments, including data science tests in R and Python.

iMocha implemented customized, automated assessments with detailed candidate reports and Smart Proctoring to reduce manual review and prevent cheating. As a result, Capgemini cut hiring managers’ vetting time from 24 hours to 6 hours per month, shortened time to hire by 75%, and shortlisted 82 candidates more efficiently.


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