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AXA Data Scientist Interview Questions and Answers

Updated 21 Aug 2024

AXA Data Scientist Interview Experiences

1 interview found

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

I applied via Company Website and was interviewed in Feb 2024. There was 1 interview round.

Round 1 - Aptitude Test 

What id regularization

Interview Preparation Tips

Interview preparation tips for other job seekers - read and prepare well

Interview questions from similar companies

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 Aug 2024. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Whats is supervised learning
  • Ans. 

    Supervised learning is a type of machine learning where the model is trained on labeled data to make predictions or decisions.

    • Uses labeled data for training

    • Predicts outcomes based on input features

    • Examples include regression and classification algorithms

  • Answered by AI
  • Q2. What is unsupervised learning
  • Ans. 

    Unsupervised learning is a type of machine learning where the model is trained on unlabeled data without any predefined output labels.

    • No predefined output labels are provided for the training data

    • The model must find patterns and relationships in the data on its own

    • Common techniques include clustering and dimensionality reduction

    • Examples: K-means clustering, Principal Component Analysis (PCA)

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - do hard work

Skills evaluated in this interview

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

(2 Questions)

  • Q1. Technical ML QUESTIONS
  • Q2. PYTHON QUESTIONS
Interview experience
2
Poor
Difficulty level
Easy
Process Duration
2-4 weeks
Result
No response

I applied via LinkedIn and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. 1) Formula for Precision and recall
  • Ans. 

    Precision = TP / (TP + FP), Recall = TP / (TP + FN)

    • 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

    • Example: If a model predicts 100 positive cases, out of which 80 are actually positive, precision = 80/100, recall = 80/total actual positive cases

  • Answered by AI
  • Q2. 2) Difference between R2 and adjusted R2
  • Ans. 

    R2 measures the proportion of variance explained by the model, while adjusted R2 adjusts for the number of predictors in the model.

    • R2 is the proportion of variance in the dependent variable that is predictable from the independent variables.

    • Adjusted R2 penalizes the addition of unnecessary predictors in the model, providing a more accurate measure of the model's goodness of fit.

    • R2 can increase even when adding irreleva...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for ICICI Lombard General Insurance Company Data Scientist interview:
  • Machine Learning
  • STATISICS
  • Python
Interview preparation tips for other job seekers - Keep your basics clear

Skills evaluated in this interview

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 Aug 2024. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Whats is supervised learning
  • Ans. 

    Supervised learning is a type of machine learning where the model is trained on labeled data to make predictions or decisions.

    • Uses labeled data for training

    • Predicts outcomes based on input features

    • Examples include regression and classification algorithms

  • Answered by AI
  • Q2. What is unsupervised learning
  • Ans. 

    Unsupervised learning is a type of machine learning where the model is trained on unlabeled data without any predefined output labels.

    • No predefined output labels are provided for the training data

    • The model must find patterns and relationships in the data on its own

    • Common techniques include clustering and dimensionality reduction

    • Examples: K-means clustering, Principal Component Analysis (PCA)

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - do hard work

Skills evaluated in this interview

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

(2 Questions)

  • Q1. Technical ML QUESTIONS
  • Q2. PYTHON QUESTIONS
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
Selected Selected
Round 1 - Technical 

(2 Questions)

  • Q1. LSTM RNN and simple RNN difference
  • Ans. 

    LSTM RNN is a type of RNN that can learn long-term dependencies, while simple RNN struggles with vanishing/exploding gradients.

    • LSTM RNN has more complex architecture with memory cells, input, forget, and output gates.

    • Simple RNN has a single tanh activation function and suffers from vanishing/exploding gradients.

    • LSTM RNN is better at capturing long-term dependencies in sequences.

    • Simple RNN is simpler but struggles with

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

    Lasso regression is a type of linear regression that uses L1 regularization to prevent overfitting by adding a penalty term to the loss function.

    • Lasso regression helps in feature selection by shrinking the coefficients of less important features to zero.

    • It is particularly useful when dealing with high-dimensional data where the number of features is much larger than the number of samples.

    • The regularization parameter in...

  • Answered by AI
Round 2 - Technical 

(1 Question)

  • Q1. How to fine tune a llm model
  • Ans. 

    Fine tuning a LLM model involves adjusting hyperparameters to improve performance.

    • Perform grid search or random search to find optimal hyperparameters

    • Use cross-validation to evaluate different hyperparameter combinations

    • Regularize the model to prevent overfitting

    • Adjust learning rate and batch size for better convergence

    • Consider using techniques like early stopping to prevent overfitting

  • Answered by AI
Round 3 - Behavioral 

(1 Question)

  • Q1. Normal discussion
Round 4 - HR 

(1 Question)

  • Q1. Salary negotiation

Skills evaluated in this interview

Interview experience
2
Poor
Difficulty level
Easy
Process Duration
2-4 weeks
Result
No response

I applied via LinkedIn and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. 1) Formula for Precision and recall
  • Ans. 

    Precision = TP / (TP + FP), Recall = TP / (TP + FN)

    • 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

    • Example: If a model predicts 100 positive cases, out of which 80 are actually positive, precision = 80/100, recall = 80/total actual positive cases

  • Answered by AI
  • Q2. 2) Difference between R2 and adjusted R2
  • Ans. 

    R2 measures the proportion of variance explained by the model, while adjusted R2 adjusts for the number of predictors in the model.

    • R2 is the proportion of variance in the dependent variable that is predictable from the independent variables.

    • Adjusted R2 penalizes the addition of unnecessary predictors in the model, providing a more accurate measure of the model's goodness of fit.

    • R2 can increase even when adding irreleva...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for ICICI Lombard General Insurance Company Data Scientist interview:
  • Machine Learning
  • STATISICS
  • Python
Interview preparation tips for other job seekers - Keep your basics clear

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Job Portal and was interviewed in Jul 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 - Technical 

(2 Questions)

  • Q1. Coding questions on Pandas Confusion matrix Project related questions ML algorithms Correlation Puzzle questions
  • Q2. Puzzle Linear Regression Outlier

Interview Preparation Tips

Interview preparation tips for other job seekers - Keep your foundations strong. Please have good practice in python especially pandas.

AXA Interview FAQs

How many rounds are there in AXA Data Scientist interview?
AXA interview process usually has 1 rounds. The most common rounds in the AXA interview process are Aptitude Test.

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AXA Data Scientist Interview Process

based on 1 interview

Interview experience

4
  
Good
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