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BUSINESSNEXT Data Scientist Interview Questions, Process, and Tips

Updated 8 Oct 2024

Top BUSINESSNEXT Data Scientist Interview Questions and Answers

BUSINESSNEXT Data Scientist Interview Experiences

3 interviews found

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

I applied via Naukri.com and was interviewed before Oct 2023. There were 3 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. What is Machine Learning, Difference among AI, ML and DL
  • Ans. 

    Machine Learning is a subset of Artificial Intelligence that uses algorithms to learn from data and make predictions.

    • AI (Artificial Intelligence) is the broader concept of machines being able to carry out tasks in a way that we would consider 'smart'.

    • ML (Machine Learning) is a subset of AI that focuses on the development of computer programs that can access data and use it to learn for themselves.

    • DL (Deep Learning) is ...

  • Answered by AI
  • Q2. Evaluation Metrics for Classification
  • Ans. 

    Evaluation metrics are used to assess the performance of classification models.

    • Common evaluation metrics include accuracy, precision, recall, F1 score, and ROC-AUC.

    • Accuracy measures the overall correctness of the model's predictions.

    • Precision measures the proportion of true positive predictions out of all positive predictions.

    • Recall measures the proportion of true positive predictions out of all actual positives.

    • F1 sco...

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

(2 Questions)

  • Q1. Window Function of SQL
  • Ans. 

    Window functions in SQL allow you to perform calculations across a set of table rows related to the current row.

    • Window functions are used to perform calculations on a set of rows related to the current row.

    • They do not reduce the number of rows returned by the query.

    • Common window functions include ROW_NUMBER(), RANK(), DENSE_RANK(), and NTILE().

  • Answered by AI
  • Q2. Index and Procedure in SQL
  • Ans. 

    Indexes are used to improve the performance of SQL queries by allowing faster data retrieval. Procedures are reusable SQL code blocks.

    • Indexes are used to quickly locate data without having to scan the entire table.

    • Procedures are stored SQL code blocks that can be executed multiple times.

    • Indexes can be created on columns to speed up search queries.

    • Procedures can accept input parameters and return results.

  • Answered by AI
Round 3 - HR 

(2 Questions)

  • Q1. Salary Expectation
  • Q2. Location Preferemce

Interview Preparation Tips

Topics to prepare for BUSINESSNEXT Data Scientist interview:
  • Python
  • Machine Learning
  • SQL

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Mar 2022. There were 3 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 Resume tips
Round 2 - Technical 

(1 Question)

  • Q1. Difference between Precision and Recall? How to select features? What’s p-value?
  • Ans. 

    Precision and Recall are evaluation metrics for classification models. Feature selection is important for model performance. P-value is a statistical measure.

    • Precision is the ratio of true positives to the total predicted positives. Recall is the ratio of true positives to the total actual positives.

    • Precision is important when false positives are costly, while recall is important when false negatives are costly.

    • Feature...

  • Answered by AI
Round 3 - One-on-one 

(1 Question)

  • Q1. Questions on project life cycle: Challenges faced during Data Cleaning and Feature Engineering?

Interview Preparation Tips

Interview preparation tips for other job seekers - Read JD Carefully and prepare accordingly. Technical part must be strong.

Skills evaluated in this interview

Data Scientist Interview Questions Asked at Other Companies

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I applied via Approached by Company and was interviewed before Sep 2021. There were 4 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 Resume tips
Round 2 - One-on-one 

(1 Question)

  • Q1. Technical questions about machine learning and data science
Round 3 - Technical 

(1 Question)

  • Q1. Machine learning and data science and about past industry projects
Round 4 - HR 

(1 Question)

  • Q1. Salary discussion and about joining. Roles explained by HR

Interview Preparation Tips

Interview preparation tips for other job seekers - Technical knowledge is important and about your past roles and responsibilities

Interview questions from similar companies

Data Scientist Interview Questions & Answers

LTIMindtree user image Abhishek Srivastav

posted on 16 Mar 2015

Interview Questionnaire 

3 Questions

  • Q1. Code For parse Traingle
  • Ans. 

    Code for parsing a triangle

    • Use a loop to iterate through each line of the triangle

    • Split each line into an array of numbers

    • Store the parsed numbers in a 2D array or a list of lists

  • Answered by AI
  • Q2. Asci value along with alphabets(both capital and small)
  • Ans. 

    The ASCII value is a numerical representation of a character. It includes both capital and small alphabets.

    • ASCII values range from 65 to 90 for capital letters A to Z.

    • ASCII values range from 97 to 122 for small letters a to z.

    • For example, the ASCII value of 'A' is 65 and the ASCII value of 'a' is 97.

  • Answered by AI
  • Q3. Would you like to go for Hire studies

Interview Preparation Tips

Round: Test
Experience: First round was through Elitmus.
If you want to be in IT industry must appear it atleast once, for core also u can try it.
It's usually a tough exam but if u are good in maths , apti you will crack it.
Tips: Focus more on Reasoning part. this is the most difficult part.
practise paragraphs reading and solving(Average level)(Infosys level or less)
If you need any kind of help you can contact me via email or can even ring me.
I would recomend everybody to appear this exam with minimum of one month dedicated preparation
Duration: 120 minutes
Total Questions: 60

Round: Coding Round on their own plateform
Experience: It was little difficult to write codes on some other plateform. But time was enough to cope up.
Tips: Try writing as many programs you can write in C, C++ and JAVA not on paper, on compiler . while giving this exam you can select any of these three languages. Based on that your technical Interview will be taken.

Round: Technical Interview
Experience: Its easy one if you have hands on on programing
Tips: Explore and explore .

Round: HR Interview
Experience: Most difficult round for me(I feel myself a little weak in English). But stay calm. And be cheerful.
I still don't know the exact answer of the question but conversation gone for about 20 minutes on this topic.
He din't seem satisfied with me. Btw most of the people says to say no. You can take your call according to the situation.
Tips: Stay calm. Have as much Knowledge about the organisation. Try to make your Intro as much interesting as possible with achivements, hobbies etc. Ya English plays most important role here.

General Tips: Always have faith in yourself. And remember Everything happens for some good reason
Skill Tips: Dont go deep in OS, DBMS but have rough idea about all the topics
Skills: C, C++, DATA STRUCTURE, DBMS, OS
College Name: GANDHI INSTITUTE OF ENGINEERING AND TECHNOLOGY
Motivation: I wanted a job. :)
Funny Moments: A number of stories are there related to this job.
One is I already had an offer so I booked my ticket to home from Bangalore But at very last moment my father told me that you should never miss any chance, go for it. I went and interview date was postponded due to some reasons. I got a mail at 10:30 pm saying I have to attend interview next day morning at 8:30 pm. I ran to get printout of that mail. The venue was 3 hour journey from my place so I din't sleep for the whole night because i knew that if I ll sleep, I would not be able to wake up But I din't studied also because it would have lead to sleep. And Without having sleep and last moment study I made it.

Skills evaluated in this interview

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

(1 Question)

  • Q1. Python coding questions followed by machine learning , deep learning algorithms
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Aug 2023. There were 2 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. Explain confusion matrix Define what is p value Explain k means vs decion tree
  • Ans. 

    Confusion matrix is a table used to evaluate the performance of a classification model. P value is a measure of the strength of evidence against the null hypothesis. K-means is a clustering algorithm while decision tree is a classification algorithm.

    • Confusion matrix is a 2x2 table that shows the true positive, true negative, false positive, and false negative values of a classification model.

    • P value is the probability ...

  • Answered by AI
Round 2 - Technical 

(1 Question)

  • Q1. What is nlp and explan cnn
  • Ans. 

    NLP stands for Natural Language Processing, while CNN refers to Convolutional Neural Networks.

    • NLP is a branch of artificial intelligence that focuses on the interaction between computers and humans using natural language.

    • CNN is a type of deep learning algorithm commonly used for image recognition and classification tasks.

    • CNNs are also used in NLP for tasks like text classification and sentiment analysis.

  • Answered by AI

Skills evaluated in this interview

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

(1 Question)

  • Q1. How random forest works in feature selections process?
  • Ans. 

    Random forest uses feature importance to select the most relevant features for prediction.

    • Random forest calculates feature importance based on how much each feature decreases impurity in the model

    • Features with higher importance are considered more relevant for prediction

    • Random forest can automatically handle feature selection by using only the most important features

    • Example: In a random forest model predicting customer...

  • Answered by AI

Skills evaluated in this interview

Interview Questionnaire 

2 Questions

  • Q1. Three skills required to be a good data scientist?
  • Q2. Answer: Curious , Extremely argumentative and judgemental
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
-
Result
No response

I applied via Naukri.com and was interviewed in Jul 2024. There was 1 interview round.

Round 1 - Technical 

(6 Questions)

  • Q1. Which GenAI projects I have worked on
  • Q2. What is the context window in LLMs
  • Ans. 

    Context window in LLMs refers to the number of surrounding words considered when predicting the next word in a sequence.

    • Context window helps LLMs capture dependencies between words in a sentence.

    • A larger context window allows the model to consider more context but may lead to increased computational complexity.

    • For example, in a context window of 2, the model considers 2 words before and 2 words after the target word fo

  • Answered by AI
  • Q3. What is top_k parameter
  • Ans. 

    top_k parameter is used to specify the number of top elements to be returned in a result set.

    • top_k parameter is commonly used in machine learning algorithms to limit the number of predictions or recommendations.

    • For example, in recommendation systems, setting top_k=5 will return the top 5 recommended items for a user.

    • In natural language processing tasks, top_k can be used to limit the number of possible next words in a

  • Answered by AI
  • Q4. What are regex patterns in python
  • Ans. 

    Regex patterns in Python are sequences of characters that define a search pattern.

    • Regex patterns are used for pattern matching and searching in strings.

    • They are created using the 're' module in Python.

    • Examples of regex patterns include searching for email addresses, phone numbers, or specific words in a text.

  • Answered by AI
  • Q5. What are iterators and tuples
  • Ans. 

    Iterators are objects that allow iteration over a sequence of elements. Tuples are immutable sequences of elements.

    • Iterators are used to loop through elements in a collection, like lists or dictionaries

    • Tuples are similar to lists but are immutable, meaning their elements cannot be changed

    • Example of iterator: for item in list: print(item)

    • Example of tuple: my_tuple = (1, 2, 3)

  • Answered by AI
  • Q6. Do I have REST API experience
  • Ans. 

    Yes, I have experience working with REST APIs in various projects.

    • Developed RESTful APIs using Python Flask framework

    • Consumed REST APIs in data analysis projects using requests library

    • Used Postman for testing and debugging REST APIs

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
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 Resume tips
Round 2 - Case Study 

Case Study for Data Analysis for marketing company

Round 3 - Group Discussion 

Group Discussion on Case Study

Round 4 - One-on-one 

(2 Questions)

  • Q1. Technical round questions about data analytics
  • Q2. Technical round about data analytics

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident!
Contribute & help others!
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BUSINESSNEXT Interview FAQs

How many rounds are there in BUSINESSNEXT Data Scientist interview?
BUSINESSNEXT interview process usually has 3-4 rounds. The most common rounds in the BUSINESSNEXT interview process are One-on-one Round, Resume Shortlist and Technical.
How to prepare for BUSINESSNEXT 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 BUSINESSNEXT. The most common topics and skills that interviewers at BUSINESSNEXT expect are Machine Learning, Python, Artificial Intelligence, Natural Language Processing and Analytics.
What are the top questions asked in BUSINESSNEXT Data Scientist interview?

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

  1. What is Machine Learning, Difference among AI, ML and...read more
  2. Difference between Precision and Recall? How to select features? What’s p-val...read more
  3. Evaluation Metrics for Classificat...read more

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BUSINESSNEXT Data Scientist Interview Process

based on 2 interviews

Interview experience

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BUSINESSNEXT Data Scientist Salary
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₹6 L/yr - ₹15.2 L/yr
34% less than the average Data Scientist Salary in India
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