Apply for the American Express Analyst – Data Science role in Gurugram & Bengaluru. Hybrid work, big data, AI, and machine learning opportunities await.
Table of Contents
Introduction
If you’ve been dreaming of a high-impact data science career in finance, American Express is offering an exceptional opportunity in Gurugram and Bengaluru. This role blends advanced analytics, big data, and AI to shape decisions that affect millions of customers worldwide — all while enjoying hybrid work flexibility.
Company Overview
American Express, with over 175 years of innovation, stands as a global leader in financial services. Known for its customer-first approach, Amex empowers employees to innovate, lead, and make a measurable difference. The Credit & Fraud Risk (CFR) team plays a pivotal role in maintaining industry-low credit loss rates and preventing fraud through data-driven strategies.
Role & Responsibilities
As an Analyst – Data Science, you’ll be part of the CFR Analytics & Data Science CoE, influencing decisions across risk, fraud, and marketing. Key responsibilities include:
- Analyzing large datasets to extract business insights.
- Developing and validating predictive models for better decision-making.
- Leveraging machine learning to improve risk management.
- Collaborating with global business partners on innovative projects.
- Presenting findings to leadership with clarity and impact.
Eligibility Criteria
To apply, you’ll need:
- Education: MBA, Master’s in Economics, Statistics, Computer Science, or related field.
- Experience: 0–18 months in analytics, big data, or related roles.
- Skills: Python, R, SAS, SQL, Hive, Spark; knowledge of machine learning techniques.
- Soft Skills: Strong communication, problem-solving, and teamwork abilities.
📍 Job Location
Cities: Gurugram (Haryana) & Bengaluru (Karnataka), India
Work Mode: Hybrid (mix of office and remote)
Why Gurugram & Bengaluru for Data Science Careers?
Both cities are thriving analytics hubs in India. Gurugram offers proximity to financial institutions and corporate headquarters, while Bengaluru — the “Silicon Valley of India” — provides exposure to cutting-edge AI and ML ecosystems. Excellent public transport, coworking spaces, and networking events make both ideal for professional growth.
Benefits & Perks
- Hybrid work flexibility.
- Professional development programs.
- Exposure to global analytics leaders.
- Competitive salary and bonuses.
- Inclusive and diverse workplace culture.
Salary Package
While the exact figure isn’t listed, American Express offers industry-leading pay for analytics roles, often including performance-based incentives and benefits.
Important Dates
- Opening Date: —
- Closing Date: — (Apply early for priority consideration)
Career Growth Potential
Joining American Express in this role opens pathways to senior analytics positions, leadership roles, and even specialized AI/ML project management. With access to cutting-edge tools and a global network, your career trajectory in financial data science will accelerate.
FAQs
Q1. What is the primary location for this role?
The role is based in Gurugram and Bengaluru with hybrid work flexibility.
Q2. Is prior data science experience mandatory?
No, candidates with 0–18 months experience can apply if they have relevant skills and education.
Q3. Does American Express provide training for this role?
Yes, Amex offers continuous learning, including AI, ML, and analytics training.
Q4. What is the main focus of the CFR team?
The team focuses on reducing fraud risk, maintaining low credit losses, and improving customer experience using data science.
Q5. Are international applicants eligible?
The posting targets candidates eligible to work in India.
📢 How to Apply for American Express Recruitment 2025?
To apply for this Off Campus Drive, interested candidates must follow the procedure outlined below:
- 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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