One Citi Data Scientist candidate reported a two-round technical process after HR, combining SQL and pandas coding with root-cause analysis and detailed project discussion.
$125K
Avg. Base Comp
$141K
Avg. Total Comp
2 rounds
Typical Rounds
2-4 weeks
Process Length
For a Citi Data Scientist interview, the clearest reported pattern is a compact technical sequence that tests both practical analysis and the substance of your past work. One candidate described two rounds after an HR screening round. The first began with introductions and CV-based questions, then moved to one SQL question and one pandas question. Their Python example used monthly Spotify-song rankings and asked which song had ranked first most often, so practice translating a plain-language ranking task into clean grouping, counting, sorting, and an explainable result.
The second reported round included root-cause analysis (RCA) and intensive discussion of projects on the candidate’s CV. The interviewer’s emphasis was on the problem actually solved, the approach, and the findings—not simply the tools listed. Prepare concise project narratives that connect the business or analytical problem to your decisions, evidence, results, and limitations. Be ready to explain why you chose an approach and what you learned from the outcome.
This guide rests on one role-matched candidate report, so the exact format may vary by team. Still, SQL/pandas fluency, structured RCA thinking, and a detailed command of your own project work are the most directly supported areas to prepare.
Synthesized from 3 candidate reports by our editorial team.
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Real interview reports from people who went through the Citi process.
It had 2 rounds, excluding HR screening round, first round was introduction followed by some cv based question and two coding question, one sql and one pandas, second round one RCA, followed full on cv grilling on projects, they are more interested what problem did you actually solve, how and what are your findings rather than the tech stack used
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Synthesized from candidate reports. Individual experiences may vary.
One candidate explicitly noted that the two reported interview rounds excluded an HR screening round. No questions or duration were described, so candidates should treat this as an initial contact stage rather than assume a defined assessment format.
One candidate reported an introduction and CV-based questions followed by two coding questions: one in SQL and one using pandas. Their Python task involved monthly Spotify rankings and identifying the song that held first place most often.
The same candidate reported a root-cause-analysis exercise followed by detailed questioning on CV projects. They said the discussion focused on the problem solved, the approach taken, and findings more than the technology stack alone.
