American Express Hiring | Analyst – Data Science

Job Description

American Express is hiring Analyst – Data Science for its Gurugram and Bengaluru offices. This is an exciting opportunity for aspiring Data Scientists and Analytics professionals to work on real-world business challenges involving Risk Management, Fraud Detection, Machine Learning, and Predictive Analytics while impacting millions of customers globally.

🏢 Company: American Express
💼 Position: Analyst – Data Science
📍 Location: Gurugram, Haryana / Bengaluru, Karnataka
🏢 Job Type: Full-Time
🏠 Work Mode: Hybrid
🎓 Experience: 0-1 year

Roles & Responsibilities

✅ Develop, deploy, and validate predictive models for risk, fraud, and marketing decisions
✅ Analyze large-scale datasets to uncover business insights and opportunities
✅ Build data-driven solutions using Machine Learning and Advanced Analytics
✅ Leverage Amex's closed-loop network data to enhance business decision-making
✅ Solve complex business problems through innovative analytical approaches
✅ Communicate insights and recommendations to leadership and key stakeholders
✅ Collaborate with global cross-functional teams and business partners
✅ Stay updated on trends in Finance, Payments, Analytics, and Data Science

Qualifications & Eligibility

🎓 Bachelor's Degree in Computer Science, Data Science, Statistics, Mathematics, Economics, Engineering, Analytics, or related quantitative disciplines
🎓 0–30 months of experience in Analytics, Data Science, Business Intelligence, Risk Analytics, or related domains
🎓 Strong analytical, quantitative, and problem-solving skills
🎓 Ability to work with large datasets and derive meaningful business insights
🎓 Excellent communication and stakeholder management skills
🎓 Ability to work independently and collaboratively in a team environment
🎓 Passion for Data Science, Machine Learning, Analytics, and Business Problem Solving
🎓 Knowledge of Python, R, SQL, Statistics, or Machine Learning concepts is an added advantage

Skills Required

⭐ Data Analytics & Statistical Analysis
⭐ Machine Learning Fundamentals
⭐ Predictive Modeling
⭐ Problem Solving & Critical Thinking
⭐ Business Analytics
⭐ Data Interpretation & Visualization
⭐ Communication & Presentation Skills
⭐ Stakeholder Management
⭐ Project Execution & Delivery
⭐ Cross-Functional Collaboration

🔹 Preferred Skills

⭐ Python / R Programming
⭐ SQL & Database Management
⭐ Big Data Technologies
⭐ Predictive Analytics
⭐ Fraud Analytics
⭐ Risk Modeling
⭐ Data Science & AI Concepts
⭐ Financial Services Analytics