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

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AI & Analytics Test created


Candidates evaluated


Candidates shortlisted


Information Technology & Services




USA, Europe, Asia, Australia

  • Time spent by Hiring Managers on irrelevant candidates
  • Over-dependence on resumes
  • High time-to-hire ratio
  • Data Science assessments in R & Python
  • Adding own questions
  • In-depth skills-wise report
  • Advanced proctoring and anti-cheating mechanisms

The Company

A global leader in consulting, technology services, and digital transformation, Capgemini is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital, and platforms.

The Challenge

Capgemini enables its customers to go digital through an array of services backed by AI, Analytics, and Platform. Under their Digital Services business unit they have Insights & Data, which is responsible for creating solutions that drive impact with data. It would be fair to say that Data Science is a critical function and requires a niche skillset. With a growing demand from its customers for business intelligence and data science services, Capgemini looked to expand its team. The major hurdle they encountered was that their Hiring Managers, among the top paid resources at Capgemini, spent most of their working hours vetting candidates. This hampered project deliverables a great deal.

capgemini begore data science

On average it took Capgemini almost one week to screen, shortlist, and extend an offer letter. Data science is a niche skill and there is intense competition to hire the best candidates. Moreover, in the absence of a skills assessment, their Hiring Managers spent almost 24 hours a month vetting candidates.

The Solution

capgemini after data science

Capgemini was already using iMocha for university and entry-level hiring. They decided to try our Data Science assessments as well. The Data Science assessments were available in 2 coding languages R and Python. Each candidate was sent the assessment and reports of the top-performing candidates were sent to Hiring Managers. Since there was no manual review involved, the Hiring Managers could conduct the interviews and shortlist them for the HR round. Automated Data Science assessments meant that the time spent by Hiring Managers for the hiring process reduced from 24 hours to just 6 hours in a month.

The Result

Capgemini has managed to roll out offer letters within 4 days and hire the best data scientists Hiring managers spend just 6 hours a month on interviews; focusing more on their primary job roles

Next Step

Looking at the success of Insights & Data, other departments within Digital Services like AI Engineering, Data Trust, Data Foundation, and Project Management are looking to use iMocha for their hiring requirements.

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