American Express (Amex): Analyst – Data Science

Job Description

The Analyst – Data Science position at American Express is an excellent opportunity for early-career professionals who want to work on advanced analytics, predictive modeling, and machine learning within one of the world's most respected financial services organizations. This role is part of the Credit & Fraud Risk (CFR) Analytics & Data Science Centre of Excellence, a team that plays a mission-critical role in guiding business decisions that impact millions of customers. You will contribute to developing innovative, data-driven solutions that enhance fraud detection, minimize credit risk, and support smarter decision-making across customer life cycles.

In this role, you will work with massive datasets, leverage state-of-the-art machine learning techniques, and build predictive models that drive business impact. You will collaborate with cross-functional teams, apply economic logic to real-world business problems, and deliver actionable insights that shape marketing, underwriting, servicing, and risk strategies. Amex offers a rich ecosystem for growth, encouraging innovation, curiosity, and a deep sense of ownership. As a Data Science Analyst, you will gain exposure to senior leaders, work with cutting-edge technology stacks, and influence high-visibility decisions across the organization.

American Express is widely recognized for its strong culture, leadership values, and unwavering commitment to empowering employees. As part of Team Amex, you will benefit from robust support systems, learning programs, mentorship opportunities, and a global network of analytics and data science talent. This role is ideal for individuals passionate about solving complex problems, exploring new analytical techniques, and making measurable contributions to a global financial powerhouse.

Roles & Responsibilities

• Build, validate, and deploy predictive models that strengthen decision-making across credit, fraud, and marketing domains.

• Analyze large and complex datasets to uncover patterns, trends, and insights that drive business growth and minimize risk.

• Leverage Amex’s closed-loop network data to make customer interactions smarter, more relevant, and more personalized.

• Innovate and experiment with new modeling methods, machine learning algorithms, and big data approaches to improve analytical outcomes.

• Translate analytical findings into structured business insights for senior leadership and key stakeholders across global markets.

• Maintain awareness of industry developments in machine learning, finance, analytics, and payments to enhance solution quality.

• Collaborate with cross-functional partners to understand business challenges and develop end-to-end analytical solutions.

• Document methodologies, ensure model governance, and support integration of models into production environments.

• Independently manage tasks across unstructured problem areas and deliver high-quality analytical outputs.

• Support continuous improvement initiatives by exploring new tools, technologies, and advanced statistical techniques.

Requirements & Eligibility

• Master’s degree in Economics, Statistics, Computer Science, or a related analytical discipline.

• 0–30 months of experience in analytics, data science, big data engineering, or similar roles.

• Strong skills in Python, R, SAS, SQL, Hive, Spark, and experience working with large datasets.

• Familiarity with supervised and unsupervised ML techniques including neural networks, Bayesian models, decision trees, reinforcement learning, and attribute engineering.

• Strong problem-solving mindset with the ability to work independently on complex and ambiguous challenges.

• Excellent communication and interpersonal skills to articulate analytical insights to both technical and non-technical audiences.

• Ability to collaborate with cross-functional global teams and contribute to multi-stakeholder initiatives.

• Experience in developing algorithms, high-performance computing, and scalable analytical systems is an advantage.

• Strong analytical thinking with a curiosity-driven approach to learning and experimentation.

• Ability to manage deliverables in fast-paced, results-oriented environments.

Expected Salary

The expected salary for an Analyst – Data Science at American Express in India typically ranges between ₹10–16 LPA, depending on academic background, analytical expertise, and hands-on experience with machine learning tools. Candidates with stronger programming, modeling, and big data capabilities may receive higher compensation. Amex also provides extensive benefits covering health, wellness, flexibility, parental support, and career development, ensuring a well-rounded employee experience.

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