I applied online. I interviewed at KPMG (Tysons Corner, VA)
Interview
Had a call with a manager with a tech background, followed by a final round 1 hour long interview. The call with the manager with a tech background went well. I was informed the final round would not be technical at all and would be with a non-technical manager. The interviewer was changed at the start of the interview and it was an hour of asking technical questions, many of which were not actually relevant to the potential project. This included the math behind some of the questions. However, the interviewer was someone with a public affairs and philosophy background, with no expertise in the algorithms I was describing. The feedback from the interview was that I did not understand these algorithms well enough. I believe I could have prepared more for the interview and answered the questions better, but I was misinformed and given a less than favorable assessment of my technical abilities by someone who did not understand them himself.
Interview questions [1]
Question 1
Math behind Levenshtein distance, Jaccard similarity, Louvain algorithm.
It was good specially hr are good. I was interview for genai ..genai focus is more in this company. Interview depends who takes it so most of them are good
I applied through university. I interviewed at KPMG (Turin)
Interview
Ignoranti. Chiedevano un certo bagaglio di programmazione, per poi dirmi che ciò che ho studiato è obsoleto ed è per questo che non mi prendeva nessuno (chi te lo dice?). Un esempio? Reinforcement Learning è roba passata, loro volevano qualcuno che sapesse usare bene l'AI, a quanto pare non sanno qual è il meccanismo di ChatGPT.
I was asked basic ML questions regarding how to treat imbalance data and how to evaluate the performance of predictive models
Also, you may expect some time series and Bayesian techniques
Interview questions [1]
Question 1
How do you proceed with price and cost optimization? Which data do you need?