
LexisNexis Risk Solutions Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 13 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at LexisNexis Risk Solutions.
Data Science Intern
I was called for an interview with HR. It was a smooth, really nice conversation. I answered all the questions and the recruiter gave me positive feedback. She asked me a question about aspects of my area of interest, I answered and she said 'very good, that's exactly what I was expecting you to say'. At the end of the interview, she said she would forward me to a conversation with the manager and the data science director of the company, even mentioning both their names and reassuring me that everything would be fine. And indeed, it was too fine, because this supposed conversation never happened. A little over a month later, I received an automatic email saying I was eliminated from the process. Pathetic, why lead the candidate on like that?
- What would you do if you were in charge of the next Nestlé Easter egg distribution in your city?
Data Scientist
The whole process took a long time, from October to mid-December, which might have been an issue for me and my other opportunities. There were times it felt like they weren't totally ready for the interviews, especially since they didn't give me any info on the total compensation package. Communication could have been better; I had to chase them for updates multiple times, and they were slow to give me the status updates they promised. They made assumptions about the salary I was looking for without really talking it through, and I had to follow up because I didn't have enough information to make a decision. It was also hard to get them on the phone, so it would be helpful if they included phone numbers in emails and were easier to reach.
- Can you answer general machine learning questions, drawing primarily from your CV?
Data Scientist
The hiring process begins with a call with the recruiting team, who will explain the selection process and the area's objectives. Next, I took a fairly simple technical test involving basic data quality analysis, bivariate analysis, and modeling. The product team also participated in this interview, and it was very lighthearted and fun. Finally, an interview in English was held, including discussions about career, the company's future, and how I could contribute to the strategy. The recruiter is the one who calls and makes the offer, negotiating salary and start date, as well as formalizing benefits.
- Could you describe the data modeling pipeline?
LexisNexis Risk Solutions Data Scientist Interview Questions
Quoted word for word from LexisNexis Risk Solutions interview reports.
“Can you explain why XGBoost is better than other machine learning algorithms for classification tasks?”
Read reports →“Can you explain to your team why a 99% accurate model for fraud detection could still be problematic?”
Read reports →“Could you describe the data modeling pipeline?”
Read reports →“Can you present your powerpoint?”
Read reports →“Given 30 minutes, can you devise solutions for the following problems?”
Read report →“Can you answer general machine learning questions, drawing primarily from your CV?”
Read report →“Can you share your experience with creating and launching machine learning models?”
Read report →“Can you describe any data science projects you've been involved in?”
Read report →“Can you discuss a past project you've worked on?”
Read report →Formats, difficulty and experience
Across all 13 LexisNexis Risk Solutions interview reports.