I applied online. The process took 3 weeks. I interviewed at Hilti Group (Buchs, St. Gallen) in May 2023
Interview
The interview process was very smooth. I did not feel any stress during any of the interviews because all the interviewers made everything that the interview would feel as comfortable as possible by talking in a very calm and friendly manner. They also relieved any possible tension during the technical interview by deciding to spend almost half of the interview on simply getting to know each other better.
Interview questions [1]
Question 1
Please explain in a very simple manner what a neural network is, as if you were explaining it to someone who does not have a strong background in mathematics or computer science. We are asking for this because it is important to be able to explain to the stakeholders what we are doing in our team.
I applied online. The process took 6 weeks. I interviewed at Hilti Group (Petaling Jaya) in Aug 2025
Interview
The interview process was structured but very approachable — they asked me about my projects, technical concepts, and some behavioral questions, but they were patient, kind, and gave me space even when I was nervous.
I applied online. The process took 3 weeks. I interviewed at Hilti Group in May 2025
Interview
Runde 1: Gespräch mit den inhaltlich Verantwortlichen, inhaltliche als auch Fragen zum Lebenslauf, Zeit und Möglichkeit für Fragen an die möglichen Vorgesetzten
Runde 2: Gespräch mit HR, lockeres Gespräch mit typischen HR Fragen
Interview questions [1]
Question 1
Was war Ihre grösste Herausforderung in Ihrer bisherigen Laufbahn?
I applied online. The process took 1 week. I interviewed at Hilti Group in Sep 2023
Interview
You do the interview online, they send you an email on week before the interview and then they start with the questions. When you do the interview there are only technical people, not HR.
Interview questions [1]
Question 1
What do you think data science can do for us? Where did you see your future? Why did you choose the study path? The other questions were questions about the theory behind the most commonly used algorithms in data science.
