In general, the process can take from 3 weeks to 3 months.

• Stage 1: Phone screen with HR to discuss education, work experience, and salary expectations
  
• Stage 2: Technical/case interview
  The second interview is more a technical/business case interview establishing candidates' knowledge and command about their area of expertise. This phase can include a case study. The questions can be about Python built-in functions, knowledge in statistics, technology, past projects, and probability questions.
  
• Stage 3: Onsite interview
  Interview with the managing director to discuss the candidates' expertise and the value they can bring to the organization.

• Q 1: Very basic Python questions and a high school level probability question
• Q 2: Data modeling and data science questions based on provided data sets.
• Q 3: Tell me about the time when you have solved a conflict at work.
• Q 4: Basics of Regression models, supervised unsupervised techniques, PCA, curse of dimensionality, NLP,
• Q 5: Map an organization's problem to data science - how will you solve it using data science and machine learning?
• Q 6: Define the assumption of logistic regression
• Q 7: What is Linear regression ?
• Q 8: Give an example of a project you were proud of.
• Q 9: Give an example of a time you managed conflict
• Q 10: Business case problem
• Q 11: What is your familiarity with statistical methods and passed projects ?

Accenture solves our clients' toughest challenges by providing unmatched services in strategy, consulting, digital, technology and operations. We partner with more than three-quarters of the Fortune Global 500, driving innovation to improve the way the world works and lives. With expertise across more than 40 industries and all business functions, we deliver transformational outcomes for a demanding new digital world.

Our core values shape the culture and define the character of our company. We live the core values through individual behaviors. They serve as a foundation in how we act and make decisions.