Long waiting time between various stages. After application there was a Plum test to do with a personality and problem solving sections and a long wait for the acceptance to the next stage.
Three rounds of interview in total. The first interview focus on more technical or role- specific questions. The second round is case study presentation. Conversations shift toward company values, leadership alignment, and cultural fit when you near the final stage
3 rounds, 2 technical and 1 hr
Technical on basic ml and rag based
Decision trees, random forest,etc and classic rag structure, vector db, llm, etc
What the heck why is it asking so many words
Two technical round and a hr round. Asked questions from resume, ml projects, gen ai, llm, rag etc. Asked if I have done some courses in ml and dl. Before the interviews there was an online test consisting of aptitute and reasoning questions along with data interpretation.
Interview questions [1]
Question 1
What is batch normalisation? What are ways to optimise a reinforcement learning algorithm?
Data Scientist applicants have rated the interview process at Citi with 2.6 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 63.6% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 22 days to get hired, when considering 10 user submitted interviews for this role. To compare, the hiring process at Citi overall takes an average of 27 days.
Common stages of the interview process at Citi as a Data Scientist according to 10 Glassdoor interviews include:
Phone interview: 38%
Group panel interview: 23%
Presentation: 8%
Other: 8%
Background check: 8%
IQ intelligence test: 8%
One on one interview: 8%
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