Analyst – Data Science at American Express | Hybrid Gurugram/Bengaluru

Job Opportunity: Analyst – Data Science at American Express

Work Location: Hybrid – Gurugram, Haryana, India • Bengaluru Urban, Karnataka, India

About American Express:
At American Express, our culture is built on 175 years of innovation, shared values, and Leadership Behaviors, with a steadfast commitment to support our customers, communities, and colleagues. As part of Team Amex, you’ll experience:

• Comprehensive support for holistic well-being
• Opportunities to learn new skills and develop as a leader
• Career growth through impactful work

Here, your voice and ideas matter, your work makes an impact, and together, we help define the future of American Express.

Overview of the Business

The Credit & Fraud Risk (CFR) team drives profitable business growth by:

• Reducing the risk of fraud
• Maintaining industry-lowest credit loss rates

The team leverages advanced data analytics, machine learning, and cutting-edge technology to detect and combat fraud, minimize disruption for genuine spending, and provide a world-class customer experience. Every decision—from targeting the right customer to managing onboarding—is powered by groundbreaking analytics and data science, helping the company grow profitably while delivering the best customer experience.

Joining CFR means contributing to mission-critical financial operations and having a direct impact on millions of customers.

Role Overview – Analyst, Data Science

As a Data Scientist in CFR Analytics & Data Science CoE, you will:

• Develop, deploy, and validate predictive models
• Apply economic logic to enable profitable decisions across risk, fraud, and marketing
• Solve real-world business problems using big data and machine learning
• Collaborate with top leaders in analytics, data science, and machine learning

This is an opportunity to work at one of the best companies for data scientists in India, gaining exposure to cutting-edge techniques and high-impact projects.

Key Responsibilities

• Understand the core business and decision levers of American Express
• Analyze large datasets to derive actionable business insights
• Leverage the power of the Amex network to make intelligent, relevant decisions
• Innovate with big data and machine learning solutions
• Communicate business findings clearly to leadership and key stakeholders
• Stay informed on developments in Finance, Payments, Analytics, and Technology

Minimum Qualifications

1. MBA, Master’s Degree in Economics, Statistics, Computer Science, or related fields
2. 0–30 months of experience in analytics or big data workstreams
3. Ability to drive project deliverables and achieve business results
4. Strong teamwork, communication, and interpersonal skills
5. Innovative problem-solving with ability to learn quickly and work independently
6. Ability to integrate with cross-functional business partners worldwide
7. Proficiency in SAS, R, Python, Hive, Spark, SQL

• Experience with unsupervised and supervised techniques:
• Active learning, transfer learning, neural models
• Decision trees, reinforcement learning, graphical models
• Gaussian processes, Bayesian models, MapReduce techniques, attribute engineering

Preferred Qualifications

• Expertise in coding, algorithms, and high-performance computing

How To Apply For The Job?

After checking all the Responsibilities, skills & eligibility criteria, if you are interested and eligible for this role. Then, do apply by the following link

Click Here To Apply For The Job: Apply Here