Data Science Intern applicants have rated the interview process at JPMorganChase with 3.1 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 54% positive. To compare, the company-average is 62.7% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Science Intern roles take an average of 21 days to get hired, when considering 35 user submitted interviews for this role. To compare, the hiring process at JPMorganChase overall takes an average of 27 days.
Common stages of the interview process at JPMorganChase as a Data Science Intern according to 35 Glassdoor interviews include:
Phone interview: 26%
Skills test: 21%
Personality test: 13%
One on one interview: 13%
Presentation: 8%
Other: 8%
Group panel interview: 5%
Background check: 5%
IQ intelligence test: 3%
Here are the most commonly searched roles for interview reports -
basic behavioral questions like why chase why this team why jp morgan chase and how do you see yourself fit, and a situational question asking how to identify if the customer has moved to another location and what metrics
Interview questions [1]
Question 1
basic behavioral questions like why chase why this team why jp morgan chase and how do you see yourself fit, and a situational question asking how to identify if the customer has moved to another location and what metrics
There was a hackerrank coding test followed by a super day with a technical, behavioral, and case interview. The case was analytical focused. The technical focused on math, statistics, probability, and coding knowledge questions.
Interview questions [1]
Question 1
How I stay on top of tech news and most up to date systems
I applied online. I interviewed at JPMorganChase (New York, NY)
Interview
Completed the OA, Participated in the Data for Good Hackathon, and got invited to the Superday shortly after. The superday was 3 parts: technical, behavioral, and case study. Asked common Data Science and ML questions.
Interview questions [1]
Question 1
What is the difference between unsupervised and supervised learning?