Internia

Data Science Interview Experiences

Amazon

Data Analyst

Seattle, WA

Winter 2026Accepted

University of Waterloo · Data Science

3rd year · 1 past internship

Average Interview

TechnicalBehavioral

Pre-recorded video 4 questions 2 min each then Zoom call with STAR method. HackerRank in Python was only 15 minutes. OOP concepts and explaining something technical to a teammate came up

Questions Asked

  1. 1.Out of all your options why are you most interested in Amazon?
  2. 2.What is Bayesian A/B testing and how does it differ from the frequentist approach?

Microsoft

Data Scientist

Seattle, WA

Winter 2026No Offer

University of Waterloo · Data Science

3rd year · 3.3-3.6 GPA · 1 past internship

Average Interview

TechnicalMultiple roundsSlow process

Online assessments took forever verbal numerical then the games then HireVue after and final round two interviews where partner brought up influencing a team and senior manager wanted to know about failure. standard but conversational

Questions Asked

  1. 1.How does k-means clustering work and what are its limitations?

Meta

Data Scientist

San Francisco, CA

Fall 2023No Offer

University of Waterloo · Data Science

Alumni · 2.9-3.2 GPA · 4+ past internships

Hard Interview

TechnicalSlow process

Prescreen with campus recruitment was chill then assessment day was interesting, they put us in groups to work through business cases and present to a panel with a debrief after each one. Final round was just about work experience and industry knowledge, I think the group exercises are where they actually evaluate you

Questions Asked

  1. 1.What's the difference between supervised and unsupervised learning? Give examples
  2. 2.Explain the curse of dimensionality

TD

Data Analyst

Waterloo, ON

Winter 2026No Offer

University of Waterloo · Data Science

3rd year · 2.9-3.2 GPA · 2 past internships

Average Interview

TechnicalMultiple roundsSlow processVirtual

Recruiter screen was laid back then two 45 min coding rounds same day, first was a sliding window problem that I'd done a variation of before so it went smoothly. second was graph BFS which took me longer but I got it working, I made sure to talk through my approach the whole time which the interviewers seemed to really appreciate

Questions Asked

  1. 1.What is data governance and why does it matter?

Deloitte

Data Analyst

Kitchener, ON

Summer 2026Pending Outcome

University of Waterloo · Data Science

3rd year · 2.1-2.4 GPA · 1 past internship

Hard Interview

TechnicalVirtualSlow process

All 3 interviews same day, HR first then behavioral with 2 managers then technical with 2 developers who had me write code on the spot 2 or 3 questions and they went through every project on my resume during manager round.

Questions Asked

  1. 1.Why did Deloitte end up on your list?
  2. 2.What's the difference between a dimension table and a fact table?

Microsoft

Computer Science

Seattle, WA

Summer 2024No Offer

Wilfrid Laurier University · Data Science

2nd year · 2.9-3.2 GPA · 1 past internship

Hard Interview

Case studyUnexpected Questions

Two 45 min technical interviews in a row. first one was a tree problem where you needed an optimized solution within the time limit. second was DP on their online text editor which has no autocomplete no syntax highlighting so you're writing code in notepad. that editor alone eats up a lot of time

Questions Asked

  1. 1.Describe a time your code broke in production. What did you do?
  2. 2.What's the difference between SQL and NoSQL databases? When would you use each?

Ministry of Infrastructure

Research Analyst

Fall 2024Accepted

Wilfrid Laurier University · Data Science

4th year · 3.7+ GPA · 2 past internships

VirtualEasy

They sent the interview questions beforehand which was helpful. Part of it included a powerpoint you would create beforehand. Interview was 1 hour long. I was a part of the finance team, was quite low on work so had to find ways to spend my time. Was not a very technical role, more so involved helping co-workers with their tasks, manual entry, learning the tools they use like TPON. Did not have any co-op supports at the start in terms of meeting with the other co-ops, or any training sessions. You would learn how to do a task from your manager/co-worker directly. Were some online training modules

PepsiCo

Data Science

Summer 2026Accepted

Wilfrid Laurier University · Data Science

3rd year · 3.7+ GPA · 2 past internships

BehavioralVirtualTechnical

Typical behavioral questions and then some technical questions like writing sql query, data cleaning, and then a case study on machine learning techniques. Interviewers were very friendly and accomodating

Equifax

Data Science

Summer 2025No Offer

Wilfrid Laurier University · Data Science

4th year · 3.7+ GPA · 2 past internships

TechnicalMultiple roundsBehavioralLive codingUnexpected Questions

Multi-stage interview First round was with HR, I was asked standard behavioural questions about myself and my interest in the role. Second round was a technical interview. Had to complete 2 easy/medium array manipulation-type coding questions on the spot and walk through my approach. Next I was asked some theoretical questions relating to statistics and data manipulation (topics included variance, confusion matrix ,etc). The last question was a logic puzzle about pouring water in a cup

Whirlpool

Business Analyst

Summer 2026No Offer

Wilfrid Laurier University · Data Science

3rd year · 3.7+ GPA · 2 past internships

VirtualBehavioralPoor Communication

Typical behavioral, they did ask about a time you failed and what you would do if a member of your team was underperforming. Interviewer did not give clear answer to my question at the end even after asking twice. One of the interviewers appeared disengaged and was clearly very uninterested. Overall a pretty bad experience. In the end the position was canceled

Bruce Power

Data Analyst

Fall 2025Accepted

Wilfrid Laurier University · Data Science

Alumni · 3.7+ GPA · 3 past internships

EasyVirtualConversational

Interviewed in August of 2025, the same month I was graduating. 1 round, interview with head of Project Management Center and head of Project Management Reporting. Just asked about previous work experience, coding experience, etc. Very easy overall

Magnet Forensics

Cloud FinOps

Summer 2026Declined Offer

Wilfrid Laurier University · Data Science

3rd year · 3.7+ GPA · 2 past internships

TechnicalVirtualLive codingBehavioralConversationalUnexpected Questions

First half behavioral, interviewer didn't ask much just 3 questions but did ask me what kind of startup I would start if I were to build one. Second half technical with excel and coding on hackerrank

PepsiCo

IT Analyst

Summer 2026Pending Outcome

Wilfrid Laurier University · Data Science

3rd year · 3.7+ GPA · 2 past internships

EasyBehavioralVirtual

Typical behavioral. They did ask about a time you failed or where at fault, how you dealt with it and what you learned. Interviewers were very friendly and accomodating. The position was canceled in the end

RBC

Data Analyst

Summer 2026Declined Offer

Wilfrid Laurier University · Data Science

4th year · 3.3-3.6 GPA · 2 past internships

Multiple roundsResume ReviewBehavioral

One HR interview asked me to introduce myself and walk her through my resume then another 30 min interview with manager we talked about the team and role mainly why I'd be interested etc

Databricks

Data Science

Summer 2026Accepted

University of Waterloo · Data Science

4th year · 3.7+ GPA · 3 past internships

TechnicalVirtualLive coding

Live coding with 2 interviewers fizz buzz type question then mostly situational based behaviourals like about leadership etc

Deloitte

Discovery & Digital Forensics

Winter 2026Accepted

Wilfrid Laurier University · Data Science

4th year · 3.3-3.6 GPA · 2 past internships

Multiple roundsResume ReviewVirtualBehavioralPre-recordedConversational

Two Rounds: - The first was a HireVue online assessment, where you answer a set of behavioural questions. - The second was an online interview with 2-3 people from the team, who asked a set of questions that assessed your critical thinking, understanding of the industry, etc

Hootsuite

Data Analyst

Vancouver, BC

Summer 2026No Offer

University of British Columbia · Data Science

2nd year · 2.9-3.2 GPA · 0 past internships

Easy Interview

BehavioralVirtualUnexpected Questions

Team interview was mostly behavioral. They asked about a project I was confident in and my least favourite school subject, caught me off guard. Applied through co-op portal. Three weeks

Questions Asked

  1. 1.How would you detect seasonality in a time series dataset?

Wellington Management

Intern

Summer 2026Accepted

Northeastern University · Data Science

3rd year · 3.7+ GPA · 1 past internship

EasyVirtualBehavioral

Just some general behavioral questions and some deeper questions about my resume/skill sets. Ready to talk confidently about your past projects!

Questrade

Data Governance Analyst

Fall 2024Accepted

Wilfrid Laurier University · Data Science

2nd year · 3.7+ GPA · 0 past internships

BehavioralEasyResume Review

Asked me about my projects mostly then some situational questions pretty easy overall just one interview

Accenture

Data Science

London, ON

Fall 2025Accepted

Western University · Data Science

3rd year · 3.3-3.6 GPA · 2 past internships

Average Interview

Case studyIn-Person

HR screen was fine then the technical round had JavaScript React and C# questions, weird combo but their stack uses all three, LeetCode easy level questions and some SQL plus OOP concepts, took 3 weeks total which they warned me.

Questions Asked

  1. 1.How would you handle a dataset where 95% of labels belong to one class
  2. 2.Walk me through your process for cleaning and preparing a messy real-world dataset

PepsiCo

Data Science

Winter 2026Accepted

Wilfrid Laurier University · Data Science

4th year · 3.7+ GPA · 2 past internships

TechnicalResume ReviewVirtual

First half was behavioral then asked some easy technical questions related to unsupervised learning and difference between overfitting/underfitting. They were friendly and one interview only before I got the offer

Marsh McLennan

Risk Analyst

Fall 2025No Offer

Wilfrid Laurier University · Data Science

3rd year · 3.7+ GPA · 2 past internships

BehavioralIn-Person

The interviewer asked about my interests, if I would be willing to take the SOA or CAS exams in the future. They asked a lot about projects that were on my resume and like to ask a lot of follow up questions. From what I know you were required to stay in the office until Dec 24 since its a very busy time for them

Dye & Durham

Data Analyst

Summer 2025Accepted

Wilfrid Laurier University · Data Science

3rd year · 3.7+ GPA · 1 past internship

BehavioralConversationalVirtual

Only one interview, questions about Power BI and Excel nothing difficult. The interviewer was friendly we talked about hobbies and personal interests near the end also

Co-operators

Agile Analyst

Summer 2026No Offer

Wilfrid Laurier University · Data Science

3rd year · 3.7+ GPA · 2 past internships

VirtualBehavioral

Typical behavioral questions. A small technical part at the end where they ask you to write a mockup in gherkin for one of the features on their website

Mattamy Homes

Data Analyst

Summer 2026No Offer

Wilfrid Laurier University · Data Science

3rd year · 3.7+ GPA · 2 past internships

EasyResume ReviewVirtual

Basically just walk through everything on my resume and asking in depth which tech I used and how I used it

Telus

Data Analyst

Vancouver, BC

Summer 2026No Offer

University of British Columbia · Data Science

2nd year · 2.9-3.2 GPA · 0 past internships

Hard Interview

TechnicalBehavioralVirtual

Quick call on CoderPad 2 problems in 35 min. onsite had 2 more coding rounds plus behavioral. One coding round was their new AI-assisted format with a chat sidebar and multiple files, very different from a normal interview but still didn't pass

Questions Asked

  1. 1.Write a SQL query to return the 3rd highest-value transaction in each category

West Bend

Data Engineer

Summer 2026No Offer

University of Wisconsin-Madison · Data Science

3rd year · 3.3-3.6 GPA · 1 past internship

Multiple roundsVirtualBehavioral

Standard scenario questions. Felt that we clicked but no offer

Kinaxis

Machine Learning Developer

Ottawa, ON

Fall 2025No Offer

University of Waterloo · Data Science

4th year · 3.7+ GPA · 2 past internships

Average Interview

TechnicalMultiple rounds

Single hour call with two people about past ML projects. Discussed models I'd built, data I used and how I evaluated them. Made it to the assignment stage but no offer after submitting

Questions Asked

  1. 1.Explain how backpropagation works in a neural network
  2. 2.Tell me about a dataset that was particularly messy or challenging to work with

ServiceNow

Data Analyst

Toronto, ON

Winter 2026No Offer

University of Waterloo · Data Science

2nd year · 2.9-3.2 GPA · 0 past internships

Easy Interview

TechnicalFast processVirtual

Aptitude test first, 15 questions. Then a Zoom with 5 to 6 behavioral questions about past projects and SQL. Heard back less than a week later with a no

Questions Asked

  1. 1.Walk me through how you'd clean a dataset that has 30% missing values
  2. 2.Write a SQL query to find all customers who made more than three purchases in the past 30 days.

Thomson Reuters

Data Analyst

Toronto, ON

Winter 2025No Offer

University of Waterloo · Data Science

3rd year · 3.3-3.6 GPA · 1 past internship

Easy Interview

TechnicalVirtualPoor Communication

Communication during the process was inconsistent, had to follow up a couple times to get status updates. HackerRank assessment then an interview about past projects. The project discussion was interesting at least, they had good questions about my methodology

Questions Asked

  1. 1.Explain the difference between correlation and causation with an example

Wellington Management

Risk Analyst Co-op

Summer 2026Accepted

Northeastern University · Data Science

3rd year · 3.7+ GPA · 1 past internship

EasyBehavioralVirtual

Some basic behavioral questions. Be prepared to talk a lot about your past experiences and projects on your resume.

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