🔥 High-Paying Analyst – Data Science Role at American Express (Hybrid, India 2025)

Apply for a high-paying Analyst – Data Science role at American Express—freshers to 2 years experience, hybrid work in Bengaluru/Gurugram, top benefits & salary.

High-Paying Analyst – Data Science Role at American Express (2025)


Why Choose American Express? 🏢

American Express is a global leader in financial services with a rich 175‑year history of innovation and a mission to empower customers and communities worldwide. With a culture emphasizing well-being, diversity, and career growth, Amex offers a supportive environment with hybrid work flexibility across Bengaluru and Gurugram .


Job Summary

As an Analyst – Data Science in the Commercial Collections & Credit team, you’ll support model development, enhance ML techniques, integrate diverse datasets, and drive data‑based business impact. This hybrid role, based in Bengaluru Urban and Gurugram, demands strong analytical skills and business acumen.


Key Responsibilities 🔧

✅ Support enhancements to commercial collections and credit risk models
✅ Innovate modeling techniques and variable creation
✅ Incorporate bureau and internal data into risk models
✅ Conduct AI/ML research to elevate model quality
✅ Review customer cases for variable improvement opportunities
✅ Collaborate with stakeholders to drive model usage and insights

(Extracted verbatim from JD.)


Who Can Apply? ✅

🎓 Postgraduate degree in Statistics, Mathematics, Economics, Engineering, or Management from a top-tier institute
💼 0–2 years of experience in Analytics, Data Science, Machine Learning, or related domain
🧠 Proficiency in econometric/statistical/ML techniques
💻 Skilled in Python, PySpark, SQL/Hive
🤝 Strong teamwork, communication, and ability to manage complex tasks independently

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Work Location & Type 🌍

Work is in a hybrid setup between Bengaluru Urban, Karnataka, India & Gurugram, Haryana, India


Salary Insights 💰

In India, American Express Data Science roles typically offer:

  • ₹25–35 LPA total compensation (base + bonus)
  • Expect “Performance‑Based Pay” and a competitive package aligned with industry standards

About American Express 🏢

A global financial services titan, American Express connects over digital and physical channels in 120+ countries. Its commercial data-science arm pioneers AI-driven credit risk modeling, fraud prevention, and customer personalization—leveraging cutting-edge analytics for smarter decision-making . With a hybrid-first culture and strong commitment to diversity and mental health, Amex fosters both impact and growth .


Perks & Benefits 🎁

Drawing from employee data and reviews, Amex offers:

  • 🏥 Comprehensive medical, dental, vision, life & disability insurance
  • 💸 Bonus incentives and competitive base salaries
  • 🌴 Generous paid time off & hybrid flexibility
  • 🚗 Free cab/transport & subsidized meals at office
  • 🧠 Wellness programs like counseling and gym access
  • 🎓 Learning & development initiatives and career mentorship

📢 How to Apply for American Express Recruitment 2025?

To apply for this Off Campus Drive, interested candidates must follow the procedure outlined below:

  1. Click on “Apply”.
  2. If you have not registered before, create an account.
  3. After registration, log in and fill in the application form with all the necessary details.
  4. Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
  5. Verify that all the details entered are correct.
  6. Submit the application form after verification.

If you face any issues while applying. Do let us know in the comment section

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FAQs ❓

What is the selection process?
Typically, a phone recruiter screen → technical (ML, Python, SQL) → onsite behavioral and technical interviews

Does this job support remote work?
It’s a hybrid role (onsite + remote) in Bengaluru Urban & Gurugram .

What skills are preferred?
Strong econometrics, Python/PySpark, SQL/Hive, and AI/ML modeling skills

When is the last date to apply?
Not specified. Recommended to apply early to secure your spot!

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