Technical questions asked depends on person interviewing you, but expect to know basic algorithms and be able to talk about previous projects you've done (and if you claim to have prior ML experience, then expect interview to learn in that direction).
The questions were very basic interview questions about my work experience and educational experience.
Why Mars? Why a graduate scheme?
What is one of the biggest challenges in musculoskeletal research?
What is the syntax for a lambda function in C++11?
SAS and SQL techniques for data manipulation
What do you envisage to be the biggest challenge in this post? What generally motivates you? How do you assess risk?
They asked many detailed questions about my knowledge of certain datasets and the types of policy questions that the data were used to answer. The questions they asked were very skillful in determining whether my skill set was to be of good use there.
If you get stuck on a programming task, how would you proceed?
Tell me about what you worked on in your previous job
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