Analyst – Data Science

Job Description

🆔Job ID: 26007966
🏢Company: American Express
📍Location: Gurugram, Haryana, India 🇮🇳 / Bengaluru, Karnataka, India 🇮🇳
💼Job Type: Full-time
🏢Work Mode: Hybrid
⏳Experience: 0–30 months
🎓Education: MBA / Master’s Degree in Economics, Statistics, Computer Science, Data Science, or a related field
💰Expected Salary: ₹15–₹24 LPA
📊Job Category: Data Science, Information Technology, Engineering, Data Analytics, Risk Analytics, Machine Learning
🌐Website: Website
📞Contact: Contact us

🌟When a decision impacts millions of customers, data can’t afford to be just numbers.

At American Express, you’ll use analytics, predictive modeling and machine learning to solve real-world problems across credit risk, fraud, marketing and customer decisions. 📊💳

🌟About American Express:
American Express is a global financial services company with a long history of innovation, trusted customer relationships and data-driven decision-making.

Its Credit & Fraud Risk Analytics and Data Science team plays a critical role in managing financial risk, detecting fraud and helping the business grow profitably while delivering a strong customer experience.

💡About the Role:
As an Analyst – Data Science, you’ll work on predictive models and analytical solutions that influence business decisions across risk, fraud and marketing.

You’ll analyze large datasets, uncover patterns, develop innovative approaches using machine learning and communicate business insights to senior leaders and cross-functional teams. 🚀

📌Key Responsibilities:

• Understand American Express business processes and decision-making levers
• Analyze large datasets to uncover actionable business insights
• Develop, deploy and validate predictive models
• Apply analytics and machine learning to credit, fraud and marketing problems
• Use data from the American Express network to improve decision-making
• Develop innovative approaches using big data and machine learning
• Translate analytical findings into clear business recommendations
• Present insights and solutions to leadership and key business partners
• Stay informed about developments in finance, payments, analytics and data science
• Collaborate with teams and stakeholders across global markets

🎯Requirements:

• 0–30 months of experience in analytics
• MBA or Master’s Degree in Economics, Statistics, Computer Science or a related field
• Strong analytical and problem-solving ability
• Ability to drive projects toward measurable business outcomes
• Ability to work effectively in a team environment
• Strong communication and interpersonal skills
• Ability to learn quickly and work independently on complex problems
• Ability to collaborate with cross-functional teams globally

🌟Preferred Skills:

• Predictive modeling 📈
• Machine learning
• Big data analytics
• Credit risk analytics
• Fraud detection and analytics
• Financial services analytics
• Statistical analysis
• Customer analytics
• Data-driven decision-making
• Business intelligence
• Advanced analytical problem-solving
• Strong stakeholder management

🎁Benefits & Career Growth:

• Competitive base salary
• Performance bonus opportunities
• Financial wellness and retirement support
• Medical, dental, vision and insurance benefits
• Hybrid working model
• Paid parental leave, depending on location
• Wellness centers and healthcare support
• Confidential mental health counseling through Healthy Minds
• Career development and training opportunities
• Opportunities to learn from experienced analytics and data science leaders

🔥Career Insight:
Data science becomes far more valuable when your models influence real decisions.

At American Express, early-career data professionals can build experience at the intersection of machine learning, financial risk, fraud prevention and business strategy—a combination that can open doors to advanced careers in data science, risk analytics and AI. 🚀