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AB InBev India Data Science Manager Interview Questions and Answers

Updated 6 Jul 2024

AB InBev India Data Science Manager Interview Experiences

1 interview found

Interview experience
3
Average
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
No response

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

Round 1 - Coding Test 

4 questions to code in python in 60 minutes

Interview questions from similar companies

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

I applied via Referral and was interviewed in Sep 2024. There was 1 interview round.

Round 1 - HR 

(1 Question)

  • Q1. How you know about your data
  • Ans. 

    I regularly review and analyze data to track performance and make informed decisions.

    • I track key performance indicators (KPIs) to monitor progress

    • I use data visualization tools like Excel or Tableau to analyze trends

    • I conduct regular audits to ensure data accuracy

    • I collaborate with team members to gather and interpret data

    • I attend training sessions to stay updated on data analysis techniques

  • Answered by AI
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Sep 2022. 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 tips
Round 2 - HR 

(1 Question)

  • Q1. Why you are leaving last org and why your are joining us
Round 3 - Technical 

(2 Questions)

  • Q1. How to calculate the scheme
  • Ans. 

    Calculating a scheme involves determining the parameters and formulas used to allocate benefits or rewards.

    • Identify the key parameters of the scheme, such as performance metrics, eligibility criteria, and reward structure.

    • Determine the formula or method used to calculate the benefits or rewards based on the parameters.

    • Consider any variables or factors that may impact the calculation, such as bonuses, penalties, or adju...

  • Answered by AI
  • Q2. How to handle the team
Round 4 - One-on-one 

(2 Questions)

  • Q1. All questions regarding previous organisation.
  • Q2. What are the ways to launch a product in the market.
  • Ans. 

    Product launch can be done through various strategies like social media campaigns, influencer partnerships, and traditional advertising.

    • Utilize social media platforms to create buzz and engage with potential customers

    • Collaborate with influencers to reach a wider audience and gain credibility

    • Implement traditional advertising methods such as TV commercials, print ads, and billboards

    • Organize launch events or promotions to...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident.
Be-aware-- Most of the time interviewer ask question from your last answer .
So you must have good knowledge on whatever you are giving the answer .

Read your resume thrice and prepare several times in front of mirror.
Interview experience
5
Excellent
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 tips
Round 2 - One-on-one 

(2 Questions)

  • Q1. Depends on your current skills & learnings
  • Q2. How to face the top management aggressively, so all these are depends on your confidence and ability.
Round 3 - One-on-one 

(1 Question)

  • Q1. Self confidence only
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
Selected Selected

I applied via Naukri.com and was interviewed before Apr 2023. There were 4 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Plant Maintenance related
Round 2 - One-on-one 

(1 Question)

  • Q1. Plant Manager tech interview
Round 3 - Technical 

(1 Question)

  • Q1. Reginal Technical manager interview
Round 4 - HR 

(1 Question)

  • Q1. Salary negotiation
Interview experience
5
Excellent
Difficulty level
Hard
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Jul 2023. 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 tips
Round 2 - Group Discussion 

Gm to vp interview process

Round 3 - Group Discussion 

As per experience and previous background

Round 4 - Case Study 

Fully covered in Logistics

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Sep 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 tips
Round 2 - Technical 

(1 Question)

  • Q1. Woking principle and cost analysis
Round 3 - Technical 

(1 Question)

  • Q1. Working and costing , good achivement

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare your own technical data with level of improvement possible
Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(5 Questions)

  • Q1. What is autocorrelation?
  • Ans. 

    Autocorrelation is a statistical concept that measures the relationship between a variable's current value and its past values.

    • Autocorrelation is the correlation of a signal with a delayed copy of itself.

    • It is used to detect patterns or trends in time series data.

    • Positive autocorrelation indicates a positive relationship between current and past values, while negative autocorrelation indicates a negative relationship.

    • F...

  • Answered by AI
  • Q2. Linear Regression Assumptions
  • Ans. 

    Linear regression assumptions include linearity, independence, homoscedasticity, and normality.

    • Assumption of linearity: The relationship between the independent and dependent variables is linear.

    • Assumption of independence: The residuals are independent of each other.

    • Assumption of homoscedasticity: The variance of the residuals is constant across all levels of the independent variables.

    • Assumption of normality: The resid...

  • Answered by AI
  • Q3. P value in simple terms
  • Ans. 

    P value is a measure used in hypothesis testing to determine the significance of the results.

    • P value is the probability of obtaining results at least as extreme as the observed results, assuming the null hypothesis is true.

    • A small P value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, leading to its rejection.

    • A large P value (> 0.05) suggests weak evidence against the null hypothesis, lead...

  • Answered by AI
  • Q4. Bagging and Boosting algorithms
  • Q5. Multicollinearity

Skills evaluated in this interview

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

I was interviewed in Dec 2024.

Round 1 - One-on-one 

(2 Questions)

  • Q1. What are the methods for evaluating machine learning models?
  • Ans. 

    Methods for evaluating machine learning models include accuracy, precision, recall, F1 score, ROC curve, and confusion matrix.

    • Accuracy: measures the proportion of correct predictions out of the total predictions made by the model.

    • Precision: measures the proportion of true positive predictions out of all positive predictions made by the model.

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

  • Answered by AI
  • Q2. What is the definition of standard deviation?
  • Ans. 

    Standard deviation is a measure of the amount of variation or dispersion of a set of values.

    • Standard deviation is calculated as the square root of the variance.

    • It indicates how spread out the values in a data set are around the mean.

    • A low standard deviation means the values are close to the mean, while a high standard deviation means the values are more spread out.

    • For example, in a data set of test scores, a high stand...

  • Answered by AI

I applied via Naukri.com and was interviewed before Sep 2019. There were 3 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Questions regarding Desktop produre
  • Q2. Questions from resume

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident for what you say ,smile and ask questions back

AB InBev India Interview FAQs

How many rounds are there in AB InBev India Data Science Manager interview?
AB InBev India interview process usually has 1 rounds. The most common rounds in the AB InBev India interview process are Coding Test.

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AB InBev India Data Science Manager Interview Process

based on 1 interview

Interview experience

3
  
Average
View more

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AB InBev India Data Science Manager Salary
based on 18 salaries
₹31 L/yr - ₹50 L/yr
17% more than the average Data Science Manager Salary in India
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AB InBev India Data Science Manager Reviews and Ratings

based on 3 reviews

3.1/5

Rating in categories

2.3

Skill development

2.9

Work-life balance

3.3

Salary

2.9

Job security

2.5

Company culture

2.2

Promotions

2.0

Work satisfaction

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