I applied in-person. The process took 4 weeks. I interviewed at Accenture
Interview
I was in contact with a manager for doing an intern and the master thesis as well inside the company. The interview was straight forward, I have been active describing my intentions, and what I've done in the past. Some general tech questions, not difficult. I talked about what I wanted to do for the thesis. I received a lot of informations regarding the projects that were going on ( anonymous customers and numbers of course )
Then I had another interesting opportunity at the university and the offer was not that much interesting from the salary point of view
Interview questions [1]
Question 1
What would you do in "x" case? How would you shape this system? ( To understand my way of thinking )
The interview process began with an initial technical screening centered around algorithmic problem-solving and my experience handling unstructured data pipelines. This was followed by a technical deep-dive where I was asked to walk through the system architecture of my machine learning workflows, specifically detailing how I benchmarked and tuned my models. The final round felt unstructured and shifted away from core engineering competencies, focusing heavily on domain-specific financial compliance and regulatory frameworks rather than practical AI application development or software prototyping skills.
Not much of a deal, was quite easy to stand out from 100s of others. Have some personality instead of acting like an interview robot. Be concise, clear and talk with good clarity
Mostly through its desktop software, just one HR round, HR round was easy, questions about why this tech stack for projects over others,, behavioural qns etc
Pre Hr rounds consisted of coding, game based assessment all of easy to moderate level only