American Express Hiring Freshers: Analyst – Data Science (Bengaluru)

American Express (Amex), a globally integrated payments company, is hiring for the role of Analyst – Data Science for their Bengaluru office. This is a prestigious opportunity for graduates with a background in Statistics, Economics, Computer Science, or Math to work on world-class risk and fraud models. If you have a knack for Machine Learning, SQL, and Python, read the details below and apply immediately.

American Express Careers 2026 Details:

Criterion	Details
Company Name	American Express
Role	Analyst – Data Science
Job ID	39656450
Location	Bengaluru, Karnataka (Hybrid)
Experience	Freshers (0-2 Years)
Qualification	Master’s/Bachelor’s in Economics, Statistics, CS, or Math
Batch	2023, 2024 & 2025
Salary	Best in Industry (High Package)
Last Date	Apply ASAP

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About the Role

As an Analyst – Data Science, you will be part of the Credit and Fraud Risk (CFR) or Decision Science teams. You will use advanced analytics and machine learning to detect fraud, manage credit risk, and drive profitable business growth.

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Key Responsibilities:

• Modeling: Develop, deploy, and validate predictive models using Machine Learning.

• Insights: Analyze large amounts of data to derive business insights and solve complex problems.

• Innovation: Leverage Big Data tools (Hive, Spark) to create innovative solutions for risk management.

• Collaboration: Work with cross-functional teams to implement data-driven strategies.

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Eligibility Criteria:

• Education: Master’s or Bachelor’s Degree in Economics, Statistics, Computer Science, Mathematics, or Operations Research.

• Experience: 0-30 months of experience in Analytics or Big Data (Freshers can apply).

• Technical Skills:

  • Proficiency in Python, R, or SAS.

  • Strong knowledge of SQL, Hive, or Spark.

  • Understanding of ML Algorithms (Decision Trees, Neural Models, Gradient Boosting).

• Soft Skills: Innovative problem solver with the ability to learn quickly and work independently.

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🚀 How to Crack the Amex Data Science Interview? (Preparation Guide)

American Express interviews are rigorous and highly focused on Statistics and Logic.

1. Master the “Guesstimates” & Puzzles

• Amex loves asking puzzles to test your logical thinking.

• Example: “Estimate the number of credit cards swiped in Bengaluru every hour.”

• Practice puzzles on probability (coin toss, dice roll problems).

2. Statistics is Key

• You must know the difference between Type I and Type II errors, P-value, Confidence Intervals, and Hypothesis Testing.

• Be ready to explain Logistic Regression vs Linear Regression in depth.

3. Machine Learning Basics

• Don’t just list algorithms. Know how they work.

• Question Expectation: “How does a Random Forest split a node?” or “How do you handle an imbalanced dataset?” (Crucial for Fraud Detection roles).

4. SQL & Coding

• Expect a live coding round on SQL (Joins, Window Functions like RANK(), LEAD()) and basic Python (Pandas data manipulation).

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📝 Resume Checklist for Amex

To get shortlisted, your resume must speak the language of data:

• ✅ Keywords: “Predictive Modeling,” “Hypothesis Testing,” “Fraud Detection,” “SQL,” “Python.”

• ✅ Projects: Highlight end-to-end ML projects (e.g., “Built a Credit Default Prediction model using XGBoost”).

• ✅ Tools: Explicitly mention libraries like Pandas, NumPy, Scikit-learn, and PySpark.

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🧠 Typical Selection Process

1. Resume Screening: Based on academic background and skills.

2. Online Assessment: (HackerRank/Codility) – SQL + Python/R coding + Aptitude.

3. Technical Interview 1: Deep dive into Statistics, ML algorithms, and Resume projects.

4. Technical Interview 2: Case Study (Business problem solving) + Puzzles.

5. HR Round: Cultural fit and behavioral questions.

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How to Apply for American Express Off Campus Drive 2026?

Interested and eligible candidates can apply online by following the steps below.

1. Click on the Apply Link provided below.

2. You will be redirected to the American Express official careers page.

3. Review the job description (Job ID: 39656450).

4. Click “Apply Now” and create your account.

5. Upload your Resume and submit your application.

Click Here to Apply for American Express Analyst – Data Science

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