Add office photos
Accenture
CompareProud winner of ABECA 2024 - AmbitionBox Employee Choice Awards
Filter interviews by
Accenture Data Science Engineer Interview Questions and Answers
Accenture Data Science Engineer Interview Experiences
2 interviews found
I applied via Company Website and was interviewed in Jun 2024. There were 2 interview rounds.
2 coding questions asked in python
(2 Questions)
- Q1. Basic ML algorithms
- Q2. Deep learning based questions
Interview Preparation Tips
Selected
I applied via Job Fair and was interviewed in Nov 2022. There were 2 interview rounds.
(2 Questions)
- Q1. What is the static keyword in java?
- Ans.
The static keyword in Java is used to create variables and methods that belong to the class itself, rather than an instance of the class.
Static variables are shared among all instances of a class.
Static methods can be called without creating an object of the class.
Static blocks are used to initialize static variables.
Static nested classes do not require an instance of the outer class to be instantiated.
- Q2. What is binary semaphore? What is its use?
- Ans.
A binary semaphore is a synchronization primitive that can have only two values: 0 and 1.
It is used to control access to a shared resource by multiple threads or processes.
When the semaphore value is 0, it means the resource is currently being used and other threads/processes must wait.
When the semaphore value is 1, it means the resource is available and can be used by a thread/process.
Binary semaphores are often used ...
Interview Preparation Tips
- Time Management
- Teamwork
Be professional.
Keep busy.
Manage your time wisely.
Keep track of your project 👍🏼.
Skills evaluated in this interview
Interview questions from similar companies
Selected
I applied via Naukri.com and was interviewed in Aug 2024. There was 1 interview round.
(2 Questions)
- Q1. Difference between fact and figure.
- Ans.
Fact is a statement that can be proven true or false, while figure is a numerical value or statistic.
Fact is a statement that can be verified or proven true or false.
Figure is a numerical value or statistic.
Facts are objective and can be verified through evidence or research.
Figures are quantitative data used to represent information.
Example: 'The sky is blue' is a fact, while 'The average temperature is 25 degrees Cel
- Q2. Explain data modelling
- Ans.
Data modelling is the process of creating a visual representation of data to understand its structure, relationships, and patterns.
Data modelling involves identifying entities, attributes, and relationships in a dataset.
It helps in organizing data in a way that is easy to understand and analyze.
Common data modelling techniques include Entity-Relationship (ER) diagrams and UML diagrams.
Data modelling is essential for da...
Skills evaluated in this interview
Selected
I applied via Job Portal and was interviewed in Oct 2023. There were 4 interview rounds.
Coding test is important
Most important in coding test
Group discussion is share the projects many people one idea
(1 Question)
- Q1. Last round in HR round in salary details joining in company
Data Science Engineer Interview Questions & Answers
Cognizant
Aila Chanakya Darahas
posted on 16 Feb 2024
Good execellnt and well done
(2 Questions)
- Q1. Tell me your self
- Q2. Tell me why cogniznt
Selected
(3 Questions)
- Q1. Always prepare projects u have worked on in STAR format.
- Q2. Tell me about yourself .
- Q3. Explain any 4 projects in STAR format
- Ans.
Developed a recommendation system for an e-commerce website
Used collaborative filtering to recommend products to users
Implemented the system using Python and Apache Spark
Evaluated the system's performance using precision and recall metrics
Improved the system's performance by incorporating user feedback
Interview Preparation Tips
And explain projects in STAR format.
Arunanshu Chakraborty
I applied via Recruitment Consultant and was interviewed in Jan 2021. There were 3 interview rounds.
Interview Questionnaire
1 Question
- Q1. Data Engineering questions
Interview Preparation Tips
Forecasting problem - Predict daily sku level sales
(2 Questions)
- Q1. What is difference between bias and variance
- Ans.
Bias is error due to overly simplistic assumptions, variance is error due to overly complex models.
Bias is the error introduced by approximating a real-world problem, leading to underfitting.
Variance is the error introduced by modeling the noise in the training data, leading to overfitting.
High bias can cause a model to miss relevant relationships between features and target variable.
High variance can cause a model to ...
- Q2. Parametric vs non parametruc model
- Ans.
Parametric models make strong assumptions about the form of the underlying data distribution, while non-parametric models do not.
Parametric models have a fixed number of parameters, while non-parametric models have a flexible number of parameters.
Parametric models are simpler and easier to interpret, while non-parametric models are more flexible and can capture complex patterns in data.
Examples of parametric models inc...
Skills evaluated in this interview
Data Scientist Interview Questions & Answers
Societe Generale Global Solution Centre
Anonymous
posted on 7 Oct 2023
Basic DP, Array Questions
(1 Question)
- Q1. Resume Walkthrough and Discussion, Medium level coding questions
(1 Question)
- Q1. Discussion with Manager
(1 Question)
- Q1. Normal HR round
I applied via Recruitment Consulltant and was interviewed in Aug 2023. There were 3 interview rounds.
(1 Question)
- Q1. About your project and experience
Core Python questions were asked
Accenture Interview FAQs
Tell us how to improve this page.
Accenture Interviews By Designations
- Accenture Associate Software Engineer Interview Questions
- Accenture Application Developer Interview Questions
- Accenture Application Development Analyst Interview Questions
- Accenture Software Developer Interview Questions
- Accenture Software Engineer Interview Questions
- Accenture Analyst Interview Questions
- Accenture Application Development Associate Interview Questions
- Accenture Senior Analyst Interview Questions
- Show more
Interview Questions for Popular Designations
- Data Science Intern Interview Questions
- Data Scientist Interview Questions
- Senior Data Scientist Interview Questions
- Data Science Consultant Interview Questions
- Jr. Data Scientist Interview Questions
- Decision Scientist Interview Questions
- Associate Data Scientist Interview Questions
- Data Scientist Intern Interview Questions
- Show more
Accenture Data Science Engineer Interview Process
based on 3 interviews
Interview experience
Data Science Engineer Interview Questions from Similar Companies
Fast track your campus placements
Accenture Data Science Engineer Reviews and Ratings
based on 3 reviews
Rating in categories
|
Application Development Analyst
38.9k
salaries
|  ₹3 L/yr - ₹12 L/yr |
|
Application Development - Senior Analyst
26.2k
salaries
| ₹6.9 L/yr - ₹20.2 L/yr |
|
Team Lead
24.2k
salaries
| ₹7 L/yr - ₹25.3 L/yr |
|
Senior Software Engineer
18.3k
salaries
| ₹6 L/yr - ₹19.2 L/yr |
|
Software Engineer
17.5k
salaries
| ₹3.6 L/yr - ₹12.8 L/yr |
TCS
Cognizant
Capgemini
Infosys
- Home >
- Interviews >
- Accenture Interview Questions >
- Accenture Data Science Engineer Interview Questions
