Citi Data Scientist interview typically runs 2 rounds: HR screening, technical interview. It usually takes about 2 rounds total and is project-heavy, with CV grilling and practical problem-solving.
$118K
Avg. Base Comp
$170K
Avg. Total Comp
2-3
Typical Rounds
2-4 weeks
Process Length
Our candidates report that Citi is far less interested in whether you can recite a toolchain than in whether you can explain the business problem you actually solved. A recurring theme is project ownership under scrutiny: interviewers keep pushing past the resume bullet to understand the decision, the tradeoff, and the measurable outcome. One candidate who received an offer said the strongest part of the conversation was the deep dive into what they solved, how they approached it, and what they learned, not the specific tech stack they used. That tells us Citi is listening for practical judgment and a clear line from analysis to impact.
We’ve also seen a pattern of interviews that mix applied SQL/Python with a lot of context around prior work. Even when technical questions show up, they tend to be grounded in real data scenarios rather than abstract puzzles. The non-obvious separator here is the ability to defend your work like a business partner: why the analysis mattered, what constraints shaped the approach, and what you would do differently. Candidates with backgrounds outside pure tech, like insurance, still got traction when they could speak credibly about IC versus managerial experience and connect their experience to the role.
In short, Citi seems to reward candidates who can translate data work into clear operational insight. If your examples show that you can diagnose a problem, choose a sensible method, and explain the result in plain language, you’re aligned with what they appear to value most.
Synthetized from 2 candidates reports by our editorial team.
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Featured question at Citi
Write a query to show the number of users, transactions, and total order amount per month in 2020
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Synthesized from candidate reports. Individual experiences may vary.
An initial screening with HR happens before the technical rounds. Based on the interview experience, this stage is separate from the two main rounds and is used to confirm basic fit and background.
The first round starts with introductions and CV-based questions, then moves into coding and data work. Candidates reported one SQL question and one pandas/Python question, along with discussion of past projects and experience.
The second round focuses more heavily on root-cause analysis and project deep-dives. Interviewers probe what problem you actually solved, how you approached it, and what the findings were, rather than just the tools or stack used.