They asked very specific questions on ML algorithms (eg, give me the three drawbacks of the PCA algorithm), without being interested in my capacity to see the bigger picture (for instance, how to put PCA in the perspective of dimensionality reduction, and how it compares to other algorithms for that purpose).
Tell me about some of the projects that you worked on in the past.
Tell me about a time where you experienced conflict with a collogue at your workplace.
What experience do you have with analytics?
Qual a razão pelo qual se candidata.
All skills actually needed for data analytics aside, do you already know how to work with our financial products so we can get spurious analyses that are based on our existing preconceptions?
Asked mostly behavioral questions like how I'd cope with deadlines and work with other teams, some simple technical questions like how long I need to sort and retrieve files.
Why this ML algorithm performed better for your project.
Waarom past jouw profiel bij PWC
The most difficult phase of the interview was the unstructured case study where in a lot of analysis was expected within very less time.
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