American Express Recruitment Drive 2026: American Express is hiring Analyst, Data Science through off-campus placement for Gurgaon and Bengaluru. A student from various disciplines can apply for the American Express off campus drive 2026. Interested and eligible candidates can read more details below.
About American Express:
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining what’s possible — and we’re proud to back each other every step of the way.
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American Express Recruitment 2026:
| Company Name | American Express |
| Post Name | Analyst- Data Science |
| Salary | up to ₹6 LPA * |
| Experience | 0- 2.5 Years |
| Batch | 2026 and before |
| Job Location | Gurgaon/ Bengaluru (Hybrid) |
| Last date to apply | Apply ASAP |
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Always read details carefully before applying.
American Express Recruitment Responsibilities:
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Understand the core business of American Express (AXP) and the key drivers behind strategic and operational decisions.
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Analyze large volumes of data to generate meaningful business insights and develop innovative solutions.
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Leverage the power of the American Express closed-loop network to make business decisions more intelligent, relevant, and data-driven.
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Drive innovation by developing improved approaches using Big Data, Machine Learning, and advanced analytics solutions.
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Clearly articulate and structure business findings across customer and prospect domains for leadership teams and key stakeholders.
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Stay informed about emerging trends, technologies, and developments in the Finance, Payments, Analytics, and Data Science industries
American Express Off Campus Eligibility Criteria:
- Qualification:
– MBA
– Master’s Degree In Economics
– Master’s Degree In Statistics
– Master’s Degree In Computer Science
– Related fields - 0-30 months of experience in analytics
Preferred skill:
- Drive project deliverables to achieve business results
- Work effectively in a team environment
- Communication and interpersonal skills
- Problem solver with ability to learn quickly
- Work independently with complex, unstructured initiatives
- Integrate with Cross-Functional Business Partners Worldwide
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American Express Selection Process:
The American Express selection process is a structured series of stages designed to identify and hire the most suitable candidates for various roles within the company. Here is an overview of the typical selection process:
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Online Application
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Resume Screening
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Online Assessment Test
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HR Screening Interview
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Technical/Data Science Interview
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Business Case Discussion
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Final Managerial Interview
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Offer Letter
Please note that the specific details of the American Express selection process may vary based on the role, location, and the hiring team’s preferences. It’s essential for candidates to carefully review the job description and follow any instructions provided during the application process. Preparation for technical interviews and assessments is crucial to excel in the selection process.
Why Join American Express?
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Competitive base salaries
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Bonus incentives
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Support for financial-well-being and retirement
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Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
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Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
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Generous paid parental leave policies (depending on your location)
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Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
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Free and confidential counseling support through our Healthy Minds program
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Career development and training opportunities
How to Apply for American Express Recruitment 2026?
To apply for this Off Campus Drive, interested candidates must follow the procedure outlined below:
- Click on the “Apply here” button provided below. You will be redirected to the official career page.
- Click on “Apply”.
- If you have not registered before, create an account.
- After registration, log in and fill in the application form with all the necessary details.
- Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
- Verify that all the details entered are correct.
- 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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What is the role of an Analyst Data Science at American Express?
The role involves researching and allocating suspended payments received in the Amex Bank account, maintaining metrics, prioritizing tasks, preparing reports, conducting predictive analysis, and creating automated anomaly detection systems.
What is the salary range for the Analyst Data Science position at American Express?
The expected salary for the Analyst Data Science position is up to ₹7 LPA.
What is the preferred educational qualification for the Analyst Data Science position at American Express?
The preferred educational qualification is a Bachelor's degree relevant to the industry, and other credentials will be a plus.
What are the key responsibilities of an Analyst Data Science at American Express?
Responsibilities include researching and allocating suspended payments, maintaining metrics, prioritizing tasks, preparing reports, conducting predictive analysis, and creating automated anomaly detection systems.
Are freshers eligible to apply for the Analyst Data Science position at American Express?
Yes, both freshers and experienced candidates are eligible to apply.
What skills are preferred for the Analyst Data Science position at American Express?
Preferred skills include 0-2 years of experience in analytics, analytical mindset for researching payments, advanced MS Excel skills, strong communication, relationship-building skills, and proven strong performance behavior.
What are the stages in the American Express selection process?
The selection process includes stages such as online application, resume/CV screening, online assessment, initial interview, technical interview, behavioral interview, assessment center, reference check, job offer, and onboarding.
