AmbitionBox
Interview Questions
- Reviews
- Salaries
- Interview Questions
- About Company
- Benefits
- Jobs
- Office Photos
- Community
Add office photos
i
Standard Chartered
Compare
Filter interviews by
Standard Chartered Data Scientist Interview Questions and Answers
Standard Chartered Data Scientist Interview Experiences
1 interview found
Anonymous
(1 Question)
- Q1. Explain about how recommendation engine work
- Ans.
Recommendation engines analyze user data to suggest items based on preferences and behavior.
Recommendation engines use collaborative filtering to suggest items based on user behavior and preferences.
They can also use content-based filtering to recommend items similar to ones the user has liked in the past.
Some recommendation engines combine both collaborative and content-based filtering for more accurate suggestions.
Ex...
Skills evaluated in this interview
Interview questions from similar companies
G R
I applied via Naukri.com and was interviewed in Mar 2024. There were 3 interview rounds.
(3 Questions)
- Q1. Machine learning algorithms.
- Ans.
Machine learning algorithms are tools used to analyze data, identify patterns, and make predictions without being explicitly programmed.
Machine learning algorithms can be categorized into supervised, unsupervised, and reinforcement learning.
Examples of machine learning algorithms include linear regression, decision trees, support vector machines, and neural networks.
These algorithms require training data to learn patte...
- Q2. Credit risk life cycle
- Q3. Pandas related questions
(3 Questions)
- Q1. Steps of developing a credit risk model
- Ans.
Developing a credit risk model involves several steps to assess the likelihood of a borrower defaulting on a loan.
1. Define the problem and objectives of the credit risk model.
2. Gather relevant data such as credit history, income, debt-to-income ratio, etc.
3. Preprocess the data by handling missing values, encoding categorical variables, and scaling features.
4. Select a suitable machine learning algorithm such as logi...
- Q2. Pandas related questions
- Q3. Bagging and Boosting
(3 Questions)
- Q1. Explain AIC and BIC
- Ans.
AIC and BIC are statistical measures used for model selection in the context of regression analysis.
AIC (Akaike Information Criterion) is used to compare the goodness of fit of different models. It penalizes the model for the number of parameters used.
BIC (Bayesian Information Criterion) is similar to AIC but penalizes more heavily for the number of parameters, making it more suitable for model selection when the focus...
- Q2. Difference between xgboost and lightgbm
- Ans.
XGBoost is a popular gradient boosting library while LightGBM is a faster and more memory-efficient alternative.
XGBoost is known for its accuracy and performance on structured/tabular data.
LightGBM is faster and more memory-efficient, making it suitable for large datasets.
LightGBM uses a histogram-based algorithm for splitting whereas XGBoost uses a level-wise tree growth strategy.
- Q3. Bagging and boosting
Skills evaluated in this interview
Anukriti Jain
Find second max in list, cal moving avg of a df
vignesh sekar
Selected
I applied via Campus Placement and was interviewed before Dec 2023. There were 2 interview rounds.
The first technical round will cover how computer vision works, including the advantages and disadvantages of regression and random forest. It will also include discussions on when to use precision and recall, methods to reduce false positives, and criteria for selecting different models. Additionally, disadvantages of PCA will be addressed, along with project-related questions. The second round will focus on standard aptitude tests, while the third round will involve a casual conversation with the Executive Vice President.
Normal aptitude questions
Interview Preparation Tips
I applied via Campus Placement
It was okay as the interview was scheduled on time.
(1 Question)
- Q1. They asked questions in the interview Including Python, Machine learning, SQL, Power BI
I applied via Campus Placement and was interviewed in Aug 2023. There was 1 interview round.
Apptitude + two easy level coding questions , behavioural questions,
Interview Preparation Tips
round 2 : HR + technical combined ( asked your past experience with data handelling and tools used , asked some puzzles and gestimates)
GFG for puzzles, apptitude, english, logical resoning
Selected
I applied via Referral and was interviewed before Jul 2023. There were 2 interview rounds.
If else conditions, data merging, datetime conversions, EDA on a sample data set, duplicates removal and missing value imputation
(1 Question)
- Q1. If you have to sell a kids account, how will you Target the customer. What features will you build?
- Ans.
To target customers for a kids account, focus on features like parental controls, educational content, and interactive games.
Implement parental controls to assure parents of child safety online.
Include educational content to attract parents looking for learning opportunities.
Incorporate interactive games to engage children and make the account more appealing.
Offer rewards or incentives for completing educational activi...
Selected
I applied via Naukri.com and was interviewed before May 2023. There were 2 interview rounds.
Test was conducted on datacamp assessments. Overall, there were three tests.
1. Stats test
2. ML test
3. Python/coding test
(1 Question)
- Q1. Questions on ML techniques and practices, how to handle large data in python, lots of logical questions and handling overfitting, underfitting, etc in model building.
Interview Preparation Tips
- machine learning
- python
Miles Morales
I applied via Campus Placement and was interviewed in Jan 2022. There were 3 interview rounds.
Coding related objective questions
(1 Question)
- Q1. Basic questions based on cv. Questions based on python,SQL,ML algorithms
Interview Preparation Tips
I applied via Job Portal and was interviewed in Dec 2021. There were 2 interview rounds.
(1 Question)
- Q1. Metrics and related questions
Interview Preparation Tips
Standard Chartered Interview FAQs
Tell us how to improve this page.
Standard Chartered Interviews By Designations
- Standard Chartered Senior Manager Interview Questions
- Standard Chartered Associate Manager Interview Questions
- Standard Chartered Software Developer Interview Questions
- Standard Chartered Relationship Manager Interview Questions
- Standard Chartered Senior Analyst Interview Questions
- Standard Chartered Specialist Interview Questions
- Standard Chartered Team Lead Interview Questions
- Standard Chartered Business Development Manager Interview Questions
- Show more
Interview Questions for Popular Designations
- Senior Data Scientist Interview Questions
- Decision Scientist Interview Questions
- Jr. Data Scientist Interview Questions
- Associate Data Scientist Interview Questions
- Data Scientist Intern Interview Questions
- Lead Data Scientist Interview Questions
- Trainee Decision Scientist Interview Questions
- Research Scientist Interview Questions
- Show more
Standard Chartered Data Scientist Interview Process
based on 1 interview
Interview experience
Data Scientist Interview Questions from Similar Companies
Fast track your campus placements
Standard Chartered Data Scientist Reviews and Ratings
based on 5 reviews
Rating in categories
|
Team Lead
2.5k
salaries
|  ₹4.1 L/yr - ₹13.3 L/yr |
|
Associate Manager
2.3k
salaries
| ₹5.2 L/yr - ₹20 L/yr |
|
Senior Officer
2.3k
salaries
| ₹1.8 L/yr - ₹7.3 L/yr |
|
Manager
2k
salaries
| ₹7 L/yr - ₹29 L/yr |
|
Senior Analyst
1.9k
salaries
| ₹2 L/yr - ₹9 L/yr |
HSBC Bank
ICICI Bank
HDFC Bank
Axis Bank
- Home >
- Interviews >
- Standard Chartered Interview Questions >
- Standard Chartered Data Scientist Interview Questions
