
LSEG (London Stock Exchange Group) Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 12 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at LSEG (London Stock Exchange Group).
Data Scientist
The interview process started with a discussion about my resume. Then, there was a take-home assignment involving Python and data visualization, specifically tailored to the core team's sustainability needs.
- Can you discuss your resume?
- Complete a take-home Python and data visualization task related to sustainability.
- Discuss ML concepts.
Data Scientist
The interview had two rounds. The first round covered basic questions related to my resume. The second round involved three coding questions, and during that, the interviewer asked questions about the code I wrote. However, the interviewer seemed to lack interviewing skills, focusing on syntax rather than logical questions, making it feel like a memory test instead of an assessment of thinking ability. The feedback also didn't align with what happened in the interview.
- What are the coding standards for Python?
Data Scientist
They made 4 interviews: First HR called me and asked me some questions about the position and its requirements. Then, the department manager and the technical manager for Data Engineer made a video call and asked some questions about my experience. After that meeting, I received a project to apply descriptive analysis, with 2 days to finish and return it. Lastly, HR called and gave me the feedback that they chose someone else.
- They asked some questions about my experience and then sent me a data science project to solve in 2 days.
LSEG (London Stock Exchange Group) Data Scientist Interview Questions
Quoted word for word from LSEG (London Stock Exchange Group) interview reports.
“What are the coding standards for Python?”
Read reports →“Can you explain the difference between bagging and boosting?”
Read reports →“Can you explain web scraping syntax?”
Read reports →“Given transaction data containing customer IDs, instrument types, and timestamps, how would you write PySpark code to detect suspicious trading patterns or categorize instruments?”
Read reports →“In your opinion, what are the most critical factors affecting the financial market?”
Read report →“Implement and answer a question without using any library.”
Read report →“What do you know about Pandas and Python?”
Read report →“What machine learning-related questions were asked?”
Read report →“What is your motivation for applying to LSE?”
Read report →Formats, difficulty and experience
Across all 12 LSEG (London Stock Exchange Group) interview reports.