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Deloitte Data Scientist Interview Questions, Process, and Tips

Updated 30 Nov 2024

Top Deloitte Data Scientist Interview Questions and Answers

View all 15 questions

Deloitte Data Scientist Interview Experiences

19 interviews found

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Job Portal and was interviewed before Jul 2023. There was 1 interview round.

Round 1 - Aptitude Test 

Simple aptitude test with mcqs. No stress

Interview Preparation Tips

Topics to prepare for Deloitte Data Scientist interview:
  • machine learning
  • data science
Interview preparation tips for other job seekers - Apply and don't be afraid
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Technical 

(2 Questions)

  • Q1. Project Description and basic concepts related to data science and machine learning.
  • Q2. Describe project u have done. Which algorithm is your favourite?

Interview Preparation Tips

Interview preparation tips for other job seekers - Be positive and confident.
Listen the questions calmly and then answer like story teller

Data Scientist Interview Questions Asked at Other Companies

Q1. Special Sum of ArrayYou have been given an array/list ‘arr’ of le ... read more
Q2. for a data with 1000 samples and 700 dimensions, how would you fi ... read more
asked in Affine
Q3. you have a pandas dataframe with three columns, filled with state ... read more
Q4. Clone a Linked List with random pointersGiven a linked list havin ... read more
Q5. Technical QuestionGiven a API reference. You had to make a post r ... read more
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Nov 2023. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Explain about poisson distribution
  • Ans. 

    Poisson distribution is a probability distribution that expresses the likelihood of a given number of events occurring in a fixed interval of time or space.

    • Describes the number of events that occur in a fixed interval of time or space

    • Events are independent of each other

    • Average rate of occurrence is constant

    • Examples: number of emails received in an hour, number of customers arriving at a store in a day

  • Answered by AI
  • Q2. Explain about bias variance trade off
  • Ans. 

    Bias-variance trade off is the balance between underfitting and overfitting in machine learning models.

    • Bias refers to the error introduced by approximating a real-world problem, leading to underfitting.

    • Variance refers to the model's sensitivity to fluctuations in the training data, leading to overfitting.

    • Finding the right balance between bias and variance is crucial for creating a model that generalizes well to unseen ...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Learn ML DS concepts

Skills evaluated in this interview

Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - Technical 

(2 Questions)

  • Q1. What are optimizers
  • Ans. 

    Optimizers are algorithms used to adjust the parameters of a model to minimize the error between predicted and actual values.

    • Optimizers are used in machine learning to improve the accuracy of models.

    • They work by adjusting the weights and biases of a model during training.

    • Common optimizers include Gradient Descent, Adam, and RMSprop.

    • The choice of optimizer depends on the type of problem and the characteristics of the da...

  • Answered by AI
  • Q2. What is RELU and activation functions
  • Ans. 

    RELU is an activation function used in neural networks to introduce non-linearity.

    • RELU stands for Rectified Linear Unit.

    • It is a simple function that returns the input if it is positive, and 0 otherwise.

    • It is commonly used in deep learning models due to its simplicity and effectiveness.

    • Other activation functions include sigmoid, tanh, and softmax.

  • Answered by AI

Skills evaluated in this interview

Deloitte interview questions for designations

 Senior Data Scientist

 (4)

 Data Scientist Consultant

 (2)

 Data Science

 (1)

 Data Science Consultant

 (3)

 Associate Data Analyst

 (2)

 Senior Data Analyst

 (1)

 Data Analyst Intern

 (1)

 Data Scientist and Machine Learning Engineer

 (1)

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed before Jun 2023. There were 5 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. What is homoscedasticity
  • Ans. 

    Homoscedasticity refers to the assumption that the variance of errors is constant across all levels of the independent variable.

    • Homoscedasticity is a key assumption in linear regression analysis.

    • It indicates that the residuals (errors) have constant variance.

    • If the residuals exhibit a pattern where the spread of points increases or decreases as the predicted values increase, it violates the assumption of homoscedastici...

  • Answered by AI
  • Q2. What is biasing and what is overfitting and underfitting
  • Ans. 

    Biasing is the error due to overly simplistic assumptions in the learning algorithm. Overfitting is when a model is too complex and fits the training data too closely, leading to poor generalization. Underfitting is when a model is too simple to capture the underlying structure of the data.

    • Biasing occurs when a model has high error on both training and test data due to oversimplified assumptions.

    • Overfitting happens whe...

  • Answered by AI
Round 2 - One-on-one 

(2 Questions)

  • Q1. Tell me about your project and your role into it
  • Q2. What do you understand by Deep learning neural networks
  • Ans. 

    Deep learning neural networks are a type of artificial neural network with multiple layers, used for complex pattern recognition.

    • Deep learning neural networks consist of multiple layers of interconnected nodes, allowing for more complex patterns to be learned.

    • They are capable of automatically learning features from data, eliminating the need for manual feature engineering.

    • Examples include Convolutional Neural Networks ...

  • Answered by AI
Round 3 - Versant Test English 

(2 Questions)

  • Q1. Speaking in English
  • Q2. Reading Writing
Round 4 - HR 

(2 Questions)

  • Q1. Where do you want to join?
  • Q2. What is your expected ctc?
  • Ans. 

    I am looking for a competitive salary based on industry standards and my experience.

    • Research industry standards for Data Scientist salaries

    • Consider my level of experience and skills when determining salary expectations

    • Be open to negotiation based on the overall compensation package offered

  • Answered by AI
Round 5 - Behavioral 

(2 Questions)

  • Q1. What you can do as a Data Scientist
  • Q2. Tell me your strengths and weaknesses

Interview Preparation Tips

Interview preparation tips for other job seekers - Be open to Generative AI more in terms of practical approach.

Skills evaluated in this interview

Get interview-ready with Top Deloitte Interview Questions

I applied via Referral and was interviewed in Jun 2022. There were 2 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Properly align and format text in your resume. A recruiter will have to spend more time reading poorly aligned text, leading to high chances of rejection.
View all tips
Round 2 - Technical 

(2 Questions)

  • Q1. Python programming.(List) SQL. Statistics.(Basics like CLT and Hypothesis Testing).
  • Q2. Question related to time series analysis. Program to detect outlier in time series.

Interview Preparation Tips

Interview preparation tips for other job seekers - Be good with what us written in a job description they ask questions related to that.

I applied via Naukri.com and was interviewed in Jun 2022. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Question were asked pertaining to Mathematics behind ML algorithm
Round 2 - Technical 

(1 Question)

  • Q1. Scenario based NLP Machine Learning Question
Round 3 - HR 

(1 Question)

  • Q1. Joining and salary Negotiations

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on have deep knowledge of any ML algorithm you know.

You need not know all of them. But whatever you know you need to know at depth.
Round 1 - Technical 

(1 Question)

  • Q1. Confusion Matrix, RoC curve

Interview Preparation Tips

Interview preparation tips for other job seekers - They just asked technical questions based on your job profile

Interview Preparation Tips

Round: technical interview
Experience: There were 3 rounds, All related to statistics and machine learning and whatever stuffs I had mentioned in my resume. HR round was not there. The partner of the firm just briefed me a bit about the company and asked me to relax without asking any questions in the third round.

Tips: Interview will be fun if you are thorough about your resume and it will be a cakewalk to you.

General Tips: Do's :
1. Prepare for Aptitude very seriously. Puzzles are important but aptitude is must.
2. Be thorough about everything you had specified in your resume
3. Be honest while creating your resume (It helps a lot)

Don'ts :
1. Don't get broken if you are not getting selected in Day 1 or 2 or so.
2. Don't over-prepare for case interviews, they are fairly simple.



Final Tips :
Be confident about yourself. Your attitude in the interview matters a lot. And don't lie even a bit in your resume. Many got selected with a poor resume than those with huge exaggerations.

College Name: IIT Kanpur

Deloitte Interview FAQs

How many rounds are there in Deloitte Data Scientist interview?
Deloitte interview process usually has 1-2 rounds. The most common rounds in the Deloitte interview process are Technical, Coding Test and Resume Shortlist.
How to prepare for Deloitte Data Scientist interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Deloitte. The most common topics and skills that interviewers at Deloitte expect are Python, Machine Learning, Data Science, R and Deep Learning.
What are the top questions asked in Deloitte Data Scientist interview?

Some of the top questions asked at the Deloitte Data Scientist interview -

  1. Are all the decision trees same in a random fores...read more
  2. How will you handle class imbalanced dataset to increase the f1 scor...read more
  3. What is biasing and what is overfitting and underfitt...read more

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Deloitte Data Scientist Interview Process

based on 13 interviews in last 1 year

1 Interview rounds

  • Technical Round
View more

People are getting interviews through

based on 9 Deloitte interviews
Job Portal
Referral
Company Website
Campus Placement
33%
22%
11%
11%
23% candidates got the interview through other sources.
Moderate Confidence
?
Moderate Confidence means the data is based on a sufficient number of responses received from the candidates
Deloitte Data Scientist Salary
based on 411 salaries
₹7.2 L/yr - ₹28.1 L/yr
13% more than the average Data Scientist Salary in India
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Deloitte Data Scientist Reviews and Ratings

based on 20 reviews

3.6/5

Rating in categories

3.4

Skill development

2.9

Work-Life balance

3.5

Salary & Benefits

3.8

Job Security

3.6

Company culture

3.3

Promotions/Appraisal

3.4

Work Satisfaction

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