Analyst – Data Science (Job ID: 25021483)

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Application ends: January 20, 2026
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Job Description

Company: American Express
Location: Gurugram, Haryana / Bengaluru, Karnataka, India (Hybrid)
Job Type: Full-Time
Experience: 0-3 years in analytics, big data workflows, machine learning, data science
Education: MBA, Master’s in Economics, Statistics, Computer Science, or related fields
Expected Salary: ₹8,00,000 to ₹15,00,000 Lakhs per year
Job Category: Information Technology, Engineering
Website: Website
Contact: Contact us


About the Company:
American Express, a global leader in financial services, has over 175 years of history built on innovation and customer-centric values.
The company offers diverse career paths supported by a culture of inclusivity, professional development, and employee well-being.
In India, Amex operates across multiple locations, emphasizing technological advancement and analytics-driven decision-making.


About the Role:
As a Data Science Analyst, you will develop, deploy, and validate predictive models to support profitable decision-making across risk, fraud, and marketing domains.
You will analyze large data sets, create innovative solutions, and communicate findings to leadership, contributing to the company’s industry-leading risk and customer experience management.


Key Responsibilities:
📌 Develop, deploy, and validate machine learning models for risk, fraud, and marketing decisions
📌 Analyze large datasets to derive actionable business insights
📌 Leverage the Amex network’s closed-loop data to enhance decision relevance and accuracy
📌 Innovate using big data, neural networks, reinforcement learning, and other advanced techniques
📌 Articulate findings clearly to senior leaders and cross-functional partners
📌 Stay current on payments, finance, and analytics industry trends


Requirements:
🎯 MBA or Master’s Degree in Economics, Statistics, Computer Science, or related fields
🎯 0 – 3 years of experience in analytics, big data, or data science projects
🎯 Proficiency in SAS, R, Python, Hive, Spark, SQL
🎯 Hands-on experience with supervised and unsupervised learning models, neural networks, reinforcement learning, Bayesian models, and data engineering
🎯 Strong problem-solving, communication, and project delivery skills
🎯 Ability to work independently, learn quickly, and collaborate globally


Why Join American Express?
✅ Be part of an innovative, customer-focused global leader with a rich history
✅ Competitive salary, bonuses, and employee benefits supporting your well-being
✅ Opportunities across diverse functions and continuous career development
✅ Support for work-life balance with flexible hybrid working options
✅ Access to wellness centers, mental health support, and employee assistance programs