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Accenture Data Scientist Interview Questions, Process, and Tips
Top Accenture Data Scientist Interview Questions and Answers
- Q1. Why we use mission learning Mission learning used for analysis the data's and we can able to predict and we add some additional algorithm it's mainly used for prediction ...read more
- Q2. How do you choose which ml model to use?
- Q3. What different splitting criterion are applied in decision tree. Why random forest works better ?
Accenture Data Scientist Interview Experiences
30 interviews found
Anonymous
Selected
I applied via Recruitment Consulltant and was interviewed before Jun 2023. There were 2 interview rounds.
(2 Questions)
- Q1. Merge two dataframes
- Ans.
Merging two dataframes involves combining them based on a common column or index.
Use the merge() function in pandas to merge two dataframes.
Specify the common column or index to merge on.
Choose the type of join (inner, outer, left, right) based on your requirements.
- Q2. Question on joins
(2 Questions)
- Q1. Case study on utilities
- Q2. Python coding question
Skills evaluated in this interview
Selected
I applied via Campus Placement and was interviewed before May 2023. There were 2 interview rounds.
This test consists of some coding MCQ +quantitative aptitude and logical reasoning etc.
(1 Question)
- Q1. This was technical interview multiple questions were asked from python sql and ML statistics and data analytics. Project explanation and Q/A was there over project.
Selected
I applied via Recruitment Consulltant and was interviewed before Apr 2023. There were 2 interview rounds.
(1 Question)
- Q1. What different splitting criterion are applied in decision tree. Why random forest works better ?
- Ans.
Different splitting criteria in decision trees include Gini impurity, entropy, and misclassification error. Random forest works better due to ensemble learning and reducing overfitting.
Splitting criteria in decision trees: Gini impurity, entropy, misclassification error
Random forest works better due to ensemble learning and reducing overfitting
Random forest combines multiple decision trees to improve accuracy and gener...
(1 Question)
- Q1. Describe the process to generate embedding on your own data set
- Ans.
To generate embeddings on a data set, preprocess the data, choose a suitable embedding method, train the model, and extract the embeddings.
Preprocess the data by cleaning, tokenizing, and normalizing text data.
Choose a suitable embedding method such as Word2Vec, GloVe, or FastText.
Train the embedding model on the preprocessed data to learn the embeddings.
Extract the embeddings from the trained model to represent the da...
Skills evaluated in this interview
What people are saying about Accenture
It consisted of a single coding question.
(2 Questions)
- Q1. Result not yet given
- Q2. Not yet declared. if declared I will complete it
Interview Preparation Tips
Recursion, Data structures, logic gates
Accenture interview questions for designations
(1 Question)
- Q1. Questions related to the projects that I have done and some light coding questions.
(1 Question)
- Q1. Questions related to my projects
Interview Preparation Tips
Get interview-ready with Top Accenture Interview Questions
Selected
I applied via Approached by Company and was interviewed before Apr 2023. There were 2 interview rounds.
(1 Question)
- Q1. The interview was very smooth in Accenture,it was only one technical round in which she asked me questions based on me projects and resume.
(1 Question)
- Q1. It's was only the salary discussion round
Data Scientist Jobs at Accenture
I applied via Campus Placement and was interviewed in Jun 2022. There were 2 interview rounds.
Ask simple question
Interview Preparation Tips
- Advanced Excel
- Tableau
- SQL
- Basic python
Selected
I applied via Walk-in and was interviewed before Apr 2022. There were 3 interview rounds.
Aptitude test on quant and basic programming language.
(2 Questions)
- Q1. 1) technical question around your skill set.
- Q2. 2) questions around your project.
Interview Preparation Tips
as well as one of your project end to end working you should know.
I applied via Company Website and was interviewed in Aug 2021. There was 1 interview round.
Interview Questionnaire
1 Question
- Q1. How do you choose which ml model to use?
- Ans.
The choice of ML model depends on the problem, data, and desired outcome.
Consider the problem type: classification, regression, clustering, etc.
Analyze the data: size, quality, features, and target variable.
Evaluate model performance: accuracy, precision, recall, F1-score.
Consider interpretability, scalability, and computational requirements.
Experiment with multiple models: decision trees, SVM, neural networks, etc.
Use...
Interview Preparation Tips
Skills evaluated in this interview
I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.
Interview Questionnaire
1 Question
- Q1. Nothing much technical
Interview Preparation Tips
2. Fluency in English is important (depends on interview panel)
3. Clarity on what your talking about
Accenture Interview FAQs
Some of the top questions asked at the Accenture Data Scientist interview -
The duration of Accenture Data Scientist interview process can vary, but typically it takes about less than 2 weeks to complete.
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Accenture Data Scientist Interview Process
based on 31 interviews
3 Interview rounds
- Technical Round - 1
- Technical Round - 2
- One-on-one Round
Data Scientist Interview Questions from Similar Companies
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Accenture Data Scientist Reviews and Ratings
based on 72 reviews
Rating in categories
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Application Development - Senior Analyst
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Senior Software Engineer
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