Good process 3 rounds 1st round behavioural 2nd round technical 3rd round case presentation Really good interviewers, good questions asked. SQL, Python, SAS. Review credit default models and provide reasoning as to which ML model would be a good predictor
Interview questions [1]
Question 1
Tell me about yourself Which model would you use / how would you create a model to predict a credit default of a possible customer
The interview process for a data science position at TD typically involves multiple rounds. It may include technical assessments, coding challenges, data analysis exercises, and interviews with hiring managers and team members to assess technical skills, problem-solving abilities, and cultural fit.
One round of tech questions. Two interviewers. Some simple introduction. Going through the resume and asked some detailed tech questions about the project you did. Then asked some financial questions.