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Accenture Jr. Data Scientist Interview Questions and Answers

Updated 26 Feb 2024

Accenture Jr. Data Scientist Interview Experiences

2 interviews found

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

I applied via LinkedIn and was interviewed before Feb 2023. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. What are the different supervised models used
  • Ans. 

    Supervised models include linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks.

    • Linear regression: used for predicting continuous outcomes

    • Logistic regression: used for binary classification

    • Decision trees: used for classification and regression tasks

    • Random forests: ensemble method using multiple decision trees

    • Support vector machines: used for classification ...

  • Answered by AI
  • Q2. Linear regression, logistic regression, decision tree
Round 2 - HR 

(1 Question)

  • Q1. What are the salary expectations

Skills evaluated in this interview

Round 1 - Aptitude Test 

It was an half hour test 20 questions purely based on ML and statistical knowledge.

Round 2 - Technical 

(1 Question)

  • Q1. ML techniques, statistics behind them and questions about your project

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare ML tecniques and algorithms and also the maths and statistics behind them

Jr. Data Scientist Interview Questions Asked at Other Companies

Q1. Implement a Data Structure for selection of a user in a database ... read more
Q2. Write an SQL query to select all the users with the same birthday ... read more
Q3. Show the working procedure of Max Pool and Average Pool in Excel.
Q4. What is the specialty in the architecture of ResNET?
Q5. What are the differences between Left and Right Join

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
No response

I applied via Job Fair and was interviewed before Jun 2023. There were 2 interview rounds.

Round 1 - Coding Test 

Hackrank coding round of machine learning questions

Round 2 - Technical 

(5 Questions)

  • Q1. What is logistic regression
  • Ans. 

    Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.

    • Logistic regression is used when the dependent variable is binary (e.g., 0 or 1, yes or no).

    • It estimates the probability that a given input belongs to a certain category.

    • It uses the logistic function to model the relationship between the dependent variable and independent variables.

    • Coe...

  • Answered by AI
  • Q2. What is linear regression
  • Ans. 

    Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.

    • Linear regression is used to predict the value of a dependent variable based on the value of one or more independent variables.

    • It assumes a linear relationship between the independent and dependent variables.

    • The goal of linear regression is to find the best-fitting line that repres...

  • Answered by AI
  • Q3. What experince do you have in model deployment
  • Ans. 

    I have experience deploying machine learning models using cloud services like AWS SageMaker and Azure ML.

    • Deployed a sentiment analysis model on AWS SageMaker for real-time predictions

    • Deployed a recommendation system model on Azure ML for batch predictions

    • Used Docker containers to deploy models in production environments

  • Answered by AI
  • Q4. What are transformers ?
  • Ans. 

    Transformers are models used in natural language processing (NLP) that learn contextual relationships between words.

    • Transformers use self-attention mechanisms to weigh the importance of different words in a sentence.

    • They have revolutionized NLP tasks such as language translation, sentiment analysis, and text generation.

    • Examples of transformer models include BERT, GPT-3, and RoBERTa.

  • Answered by AI
  • Q5. What is hyperparameter tuning
  • Ans. 

    Hyperparameter tuning is the process of selecting the best set of hyperparameters for a machine learning model.

    • Hyperparameters are parameters that are set before the learning process begins, such as learning rate, number of hidden layers, etc.

    • Hyperparameter tuning involves trying out different combinations of hyperparameters to find the ones that result in the best model performance.

    • Techniques for hyperparameter tuning...

  • Answered by AI

Skills evaluated in this interview

Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Company Website and was interviewed in Sep 2023. There were 3 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 - Coding Test 

Normal there is not advance requirment

Round 3 - HR 

(5 Questions)

  • Q1. Will you work will less amount package
  • Q2. You wouldn't get any travel cost?
  • Q3. What about machine learning
  • Ans. 

    Machine learning is a branch of artificial intelligence that focuses on developing algorithms and models that can learn from and make predictions or decisions based on data.

    • Machine learning involves training algorithms to learn patterns from data and make predictions or decisions.

    • It can be supervised, unsupervised, or semi-supervised learning.

    • Examples include recommendation systems, image recognition, and natural langu

  • Answered by AI
  • Q4. Tellm me about any cloud platform
  • Ans. 

    A cloud platform is a service that allows users to store, manage, and process data remotely.

    • Cloud platforms provide scalable and flexible storage solutions

    • They offer various services such as computing power, databases, and analytics tools

    • Examples include Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform

  • Answered by AI
  • Q5. Telll me about pointer
  • Ans. 

    A pointer is a variable that stores the memory address of another variable.

    • Pointers are used to access and manipulate memory directly.

    • They are commonly used in programming languages like C and C++.

    • Example: int *ptr; // declaring a pointer variable

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Nothing They will only look for people with less package.

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Do well and contribute well

Round 2 - Aptitude Test 

Do well and contribute well

Round 3 - Coding Test 

Do well and contribute well

Round 4 - One-on-one 

(2 Questions)

  • Q1. Why we choose this job
  • Ans. 

    I am passionate about using data to solve complex problems and make meaningful insights.

    • I have a strong background in statistics and data analysis

    • I enjoy working with large datasets and finding patterns within them

    • I am excited about the opportunity to work on real-world problems and make a positive impact

  • Answered by AI
  • Q2. What are your expectations
  • Ans. 

    I expect challenging projects, opportunities for growth, supportive team environment, and continuous learning.

    • Challenging projects that allow me to apply my skills and knowledge

    • Opportunities for growth and advancement within the company

    • Supportive team environment where collaboration and knowledge sharing are encouraged

    • Continuous learning through training, workshops, and mentorship programs

  • Answered by AI
Round 5 - HR 

(2 Questions)

  • Q1. Tell me about your self
  • Ans. 

    I am a data-driven individual with a strong background in statistics and machine learning.

    • Graduated with a degree in Statistics

    • Proficient in programming languages like Python and R

    • Experience with data visualization tools like Tableau

    • Completed projects involving predictive modeling and data analysis

  • Answered by AI
  • Q2. What are your salary expectations
  • Ans. 

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

    • Research industry standards for Jr. Data Scientist salaries

    • Consider my level of experience and education

    • Factor in the cost of living in the area where the job is located

  • Answered by AI
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Dec 2024. There were 3 interview rounds.

Round 1 - Aptitude Test 

This was good aptitude test computer based

Round 2 - Coding Test 

Coding round share screen and code

Round 3 - Technical 

(2 Questions)

  • Q1. Explains OOPs concept
  • Ans. 

    OOPs (Object-Oriented Programming) is a programming paradigm based on the concept of objects, which can contain data and code.

    • OOPs focuses on creating objects that interact with each other to solve complex problems.

    • Key principles of OOPs include encapsulation, inheritance, polymorphism, and abstraction.

    • Encapsulation involves bundling data and methods that operate on the data into a single unit (object).

    • Inheritance allo...

  • Answered by AI
  • Q2. Explain SOLID principles
  • Ans. 

    SOLID principles are a set of five design principles in object-oriented programming to make software more maintainable, flexible, and scalable.

    • Single Responsibility Principle (SRP) - A class should have only one reason to change.

    • Open/Closed Principle (OCP) - Software entities should be open for extension but closed for modification.

    • Liskov Substitution Principle (LSP) - Objects of a superclass should be replaceable with...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Get your basics straight

Jr. Data Scientist Interview Questions & Answers

TCS user image prakhar makhija

posted on 13 Aug 2023

Interview experience
3
Average
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 

(1 Question)

  • Q1. Introduction and overview of the projects
Round 3 - Technical 

(1 Question)

  • Q1. Computer vision questions
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
-
Result
Not Selected

I applied via LinkedIn and was interviewed in Nov 2022. There were 2 interview rounds.

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 - One-on-one 

(3 Questions)

  • Q1. Evaluation metrics used in multiclass classification
  • Ans. 

    Evaluation metrics for multiclass classification

    • Accuracy

    • Precision

    • Recall

    • F1 Score

    • Confusion Matrix

  • Answered by AI
  • Q2. Difffereence between append and extend
  • Ans. 

    Append adds a single element to a list while extend adds multiple elements.

    • Append adds the element as it is to the end of the list.

    • Extend takes an iterable and adds each element of the iterable to the end of the list.

    • Append can be used to add a single element to a list.

    • Extend can be used to add multiple elements to a list.

    • Example: list1 = [1, 2, 3], list2 = [4, 5], list1.append(4) will result in [1, 2, 3, 4], list1.ext

  • Answered by AI
  • Q3. Sort a list and take out second minimum
  • Ans. 

    Sort a list and extract the second minimum value.

    • Sort the list in ascending order using the sort() method.

    • Extract the second minimum value using indexing.

    • Handle cases where the list has less than two elements.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare python and ML basics with well defined projects with business use

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Fibonacci series print

Round 2 - Assignment 

Sales dataset to predict future sales

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. What is precision and recall
  • Ans. 

    Precision and recall are evaluation metrics used in machine learning to measure the performance of a classification model.

    • Precision is the ratio of correctly predicted positive observations to the total predicted positive observations.

    • Recall is the ratio of correctly predicted positive observations to the all observations in actual class.

    • Precision is important when the cost of false positives is high, while recall is i...

  • Answered by AI

Skills evaluated in this interview

Accenture Interview FAQs

How many rounds are there in Accenture Jr. Data Scientist interview?
Accenture interview process usually has 2 rounds. The most common rounds in the Accenture interview process are Technical, Aptitude Test and HR.
How to prepare for Accenture Jr. 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 Accenture. The most common topics and skills that interviewers at Accenture expect are Artificial Intelligence, Azure, Business process, Consulting and Data Analysis.
What are the top questions asked in Accenture Jr. Data Scientist interview?

Some of the top questions asked at the Accenture Jr. Data Scientist interview -

  1. What are the different supervised models u...read more
  2. linear regression, logistic regression, decision t...read more
  3. ML techniques, statistics behind them and questions about your proj...read more

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Accenture Jr. Data Scientist Interview Process

based on 1 interview

Interview experience

4
  
Good
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Accenture Jr. Data Scientist Salary
based on 34 salaries
₹3.5 L/yr - ₹12.5 L/yr
17% more than the average Jr. Data Scientist Salary in India
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