I applied through other source. The process took 3 weeks. I interviewed at LexisNexis Legal & Professional (London, England)
Interview
Typical hiring process with
- first interview with hiring manager
- data challenge
- final stage interview
The process was fast, and the interviewers were nice.
The final interview was really poorly organised. First there was a presentation on the data challenge, that hr told me to prepare.
Second they expected me to pitch to them one of their products. They sent a brochure to read as interview prep, but they didnt mention that I should have presented this, so I was unprepared for this.
For the last part, another person joined the call (a project manager I assume) and they went though a
a case study and behavioral questions. No one advised me there would be a case study or behavioral questions either. For the case study it did look like they have an arbitrary answer and an arbitrary thought process they want you to follow.
Overall it looked like they're not interested in data scientist, but consultants and salesmen for their product.
It's the first time during an interview they expect me to improvise a presentation, but I assume this was just disorganisation and not done on purpose.
Nevertheless, they put me in an uncomfortable situation.
The feedback was that I didn't prepare well enough (the part they didn't tell me to prepare)
Interview questions [3]
Question 1
talk us about behavioural profiling and its applications
I applied through a recruiter. I interviewed at LexisNexis Legal & Professional in Jun 2025
Interview
Technical screen on coder pad (broken english, very lazily put together), technical deep dive on your projects, then team interview. Most of the team stayed off camera and on mute. Ghosted for weeks then came back with an offer out of range - deeply unserious company, huge waste of time.
I applied online. I interviewed at LexisNexis Legal & Professional (Sandton) in Sep 2024
Interview
Nkululeko's interview process consists of three stages:
Technical Questions Screening Call – This is the first stage, where Nkululeko will be asked technical questions related to data science, machine learning, and possibly SQL or Python. The goal is to assess his theoretical understanding and problem-solving approach.
Coding Assessment – The second stage involves a hands-on coding test. It may include algorithmic challenges, data manipulation tasks, or SQL queries to evaluate Nkululeko’s coding proficiency and ability to solve real-world problems efficiently.
Interview questions [1]
Question 1
Differentiate between Supervised and Unsupervised Learning
I applied online. The process took 3 weeks. I interviewed at LexisNexis Legal & Professional in Jan 2024
Interview
Recruiter, phone screen (2 people), final round (manager + others). Overall this is really simple. Must know NLP and ML well. LLM/Chatgpt experience is very useful, but not required. Interview will include Amazon principles (behavior style questions) focusing on experience and relevant knowledge. Candidates must be able to both speak clearly at a high level and dive into details. Nearly all the DS have a PhD or MS. Questions are easy on the surface, but the interviewers are looking for specificity, reasoning, explanations, and most important brevity. You need to be sharp and quick. The interviewers are 100% managers and tech leads. They are surprisingly sharp but easygoing if that makes sense. It was a great experience, but the process is slow. Since the initial questions were open ended and seemingly easy, it was difficult to guess what followups they gave. Each layer of followups increased the expected difficulty. That's how they assessed my level. I'm already sr level, so this was very typical, expected, and easy at this point. I strongly recommend studying and practicing your strengths.
Interview questions [1]
Question 1
Topics include experience deep dives, behavior questions (Amazon format), technical deep dives. I was allowed to choose my own topic and explain it in depth from abstract to detail. Easy at first. The followup questions were more difficult and specific. The followup-followups flushed out how little I knew about some aspects of my topic.