Data Science applicants have rated the interview process at S&P Global with 2.8 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 38% positive. To compare, the company-average is 62.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Science roles take an average of 29 days to get hired, when considering 8 user submitted interviews for this role. To compare, the hiring process at S&P Global overall takes an average of 26 days.
Common stages of the interview process at S&P Global as a Data Science according to 8 Glassdoor interviews include:
Phone interview: 24%
Group panel interview: 18%
Skills test: 18%
One on one interview: 12%
Personality test: 6%
Presentation: 6%
Background check: 6%
IQ intelligence test: 6%
Other: 6%
Here are the most commonly searched roles for interview reports -
I applied through college or university. I interviewed at S&P Global (Hyderābād) in Mar 2025
Interview
The interviewer was pretty chill, he asked me everything that I mentioned in my resume. He majorly focused on SQL and my knowledge on DBMS concepts , OOPs concepts and Data Viz tools(since I have mentioned them in resume). The interview went decent enough but I didnot get selected and nobody from my panel got selected even when the interview went well.
Interview questions [1]
Question 1
1. Introduce yourself
2. Drew 2 tables and asked me who I would join them and asked 2-3 queries in SQL
3. Asked me basics of Excel and PowerBi
4. Asked core Java concepts and OOPs concepts and diff between functions and Methods
5. Asked me Python basics
30 Minute Recruiter Call followed by a 30 minute interview with some short technical questions about python, time series and common development tools (no coding). There was one more interview but did not advance.
Four rounds: initial phone screen, live coding test, case study, on-site final round.
Initial phone screen: basic HR questions
Live coding: hacker rank medium-level question
Case study: coding a set of factors to create a factor model, backtest performance
On-site: review case study live, culture & fit
Interview questions [1]
Question 1
How could different correlation methods product different results when ranking a security universe?