CGI Data Scientist interview typically runs 3 rounds: technical phone screen, in-office technical case, hiring manager behavioral. It usually takes about 1-2 weeks and is notably case-based with no programming.
$104K
Avg. Base Comp
$160K
Avg. Total Comp
3
Typical Rounds
1-3 weeks
Process Length
Our candidates’ experience suggests CGI cares less about flashy modeling and more about whether you can turn an ambiguous client problem into a sensible consulting plan. In the use-case discussion, the strongest response wasn’t a technical deep dive; it was the ability to separate business understanding, revenue drivers, cost factors, and the data needed to support each. That tells us CGI is looking for people who can frame the problem before solving it and speak in terms a client can act on.
A recurring theme is that the company seems to value practical judgment over complexity. The scenario around shipment and transit revenue was intentionally open-ended, and the candidate who did well focused on metrics like revenue per customer and profit, then reasoned through how each component could be improved or reduced. That’s a strong signal that CGI wants candidates who can connect analysis to business levers, not just produce an answer. We’ve also seen that the technical conversation can stay high level, so clarity of thought matters more than coding theatrics.
The behavioral portion appears to be about fit for a client-facing consulting environment. Since CGI positions itself as a partner and services provider, our read is that interviewers are checking for structured communication and stakeholder maturity: can you explain tradeoffs, stay grounded in the client’s industry, and sound credible without overcomplicating the problem? Candidates who show that balance tend to come across as ready for CGI’s style of work.
Synthetized from 1 candidates reports by our editorial team.
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Synthesized from candidate reports. Individual experiences may vary.
A recruiter or technical interviewer reviews your CV and walks through your background. Expect questions about your past projects, technical experience, and how your experience fits the Data Scientist role.
You work through a high-level, non-coding business case in person. In the reported experience, the scenario involved helping a shipment and transit client improve revenue, and the interviewer asked how you would structure the problem, what data you would need, which metrics you would track, and what actions the client could take.
A final in-office behavioral interview with the hiring manager. The discussion focuses on your motivation, collaboration style, and overall fit for the team and consulting environment.