American Express Hiring for Data science

American Express Hiring for Data science

Position: Analyst - Data Science

Qualifications: Bachelor’s/ Master’s Degree

Experience: Freshers/ Experience

Location: Bangalore; Gurgaon, India (Hybrid)

About American Express

You Lead the Way. We’ve Got Your Back.

At American Express, we empower people and businesses to progress with confidence. When you join Team Amex, you become part of a diverse, global community that values integrity, collaboration, and innovation. We provide the tools, flexibility, and support needed to help you build a meaningful and personalized career while delivering exceptional customer experiences worldwide.

Business Overview – Credit & Fraud Risk (CFR)

The Credit & Fraud Risk (CFR) organization plays a critical role in driving profitable growth by minimizing fraud and maintaining industry-leading credit loss rates. By leveraging advanced analytics, machine learning, and Amex’s closed-loop network data, CFR enables smarter decisions across customer acquisition, underwriting, risk management, and customer lifecycle management.

The CFR Analytics & Data Science Center of Excellence (CoE) is at the heart of American Express’s financial decision-making, influencing millions of customer interactions every day through data-driven insights.

Role Overview

As an Analyst – Data Science, you will design, develop, and deploy predictive models that support intelligent decision-making across credit risk, fraud prevention, and marketing. This role offers hands-on exposure to real-world business problems, advanced analytics techniques, and collaboration with industry-leading data scientists.

Key Responsibilities

Develop, deploy, and validate predictive models to support risk, fraud, and marketing decisions

Understand American Express’s business model and the drivers behind customer and risk-based decisions

Analyze large, complex datasets to generate actionable business insights

Leverage Amex’s closed-loop data ecosystem to improve decision accuracy and relevance

Innovate by applying big data and machine learning techniques to solve business problems

Communicate analytical findings clearly to senior leaders and key stakeholders

Stay current with developments in finance, payments, analytics, and data science

Minimum Qualifications

MBA or Master’s degree in Economics, Statistics, Computer Science, or a related field

0–30 months of experience in analytics, data science, or big data projects

Strong problem-solving skills and ability to work on unstructured initiatives

Ability to collaborate effectively within teams and across global stakeholders

Strong verbal and written communication skills

Proficiency in tools and technologies such as:

SAS, R, Python, SQL

Hive, Spark, MapReduce

Hands-on knowledge of supervised and unsupervised learning techniques, including:

Decision Trees, Neural Networks, Bayesian Models

Reinforcement Learning, Graphical Models

Gaussian Processes, Attribute Engineering

Active and Transfer Learning

Preferred Qualifications

Strong coding and algorithmic skills

Experience with high-performance computing and large-scale data processing

Why Join American Express?

Work at one of the best organizations for data scientists in India

Solve high-impact problems affecting millions of customers globally

Learn from industry leaders in analytics, data science, and machine learning

Competitive compensation with bonus incentives

Comprehensive health, wellness, and insurance benefits

Flexible hybrid working model

Generous parental leave and wellness programs

Continuous learning, training, and career development opportunities

Equal Opportunity Statement

American Express is an equal opportunity employer. Employment decisions are made without regard to race, religion, gender, sexual orientation, age, disability, or any other status protected by law. Employment offers are subject to successful background verification in accordance with applicable regulations.

American Express Hiring for Data science