Job Description
About the Job
🏢 American Express
💼 Analyst – Data Science (AI / ML Product)
📍 Bengaluru Urban, Karnataka, India
🏢 Work Mode: Hybrid
⏳ Experience: Early to Mid-Level
🔖 Full-Time
Job Description
American Express is hiring an Analyst – Data Science to join its Credit & Fraud Risk (CFR) – Global Data Science CoE, working closely with the AiDa AI/ML Product team. This role sits at the intersection of data science, AI/ML product development, and business decisioning, impacting millions of cardmembers and merchants globally.
In this role, you will contribute to building and scaling enterprise-grade AI and ML products that enable smarter, faster, and more responsible decision-making. You’ll collaborate with product managers, engineers, designers, and business stakeholders to transform AI concepts into production-ready solutions while balancing innovation, governance, and user adoption.
This is an excellent opportunity for candidates who enjoy solving real-world business problems using AI, data, and cloud technologies, while gaining exposure to industry-leading practices in fraud prevention, risk management, and ML product strategy.
What You’ll Do
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Contribute to defining the long-term AI/ML product strategy and roadmap, aligned with measurable business outcomes.
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Solve complex business problems through prioritization, ownership, and execution of AI-driven products.
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Manage and prioritize product backlogs, balancing stakeholder needs and evolving AI adoption requirements.
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Translate product vision into clear requirements, user stories, and acceptance criteria.
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Drive end-to-end AI/ML product development, from MVP to scalable production solutions.
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Collaborate with engineering teams to operationalize ML models and data pipelines.
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Support ideation, POCs, and launch of innovative AI/ML capabilities across the enterprise.
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Evangelize AI products internally to drive adoption and maximize business value.
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(Learning Track) Curate and deliver technical training in AI, Cloud, Spark, and Big Data for users at different skill levels.
Required Skills & Qualifications
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Strong quantitative, analytical, and structured problem-solving skills.
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Solid technical foundation in AI/ML, Python, SQL, data analytics, and visualization.
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Understanding of the ML model development lifecycle (MDLC) including feature engineering, algorithm selection, optimization, deployment, and monitoring.
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Familiarity with ML algorithms such as Decision Trees, Boosting techniques, and model evaluation approaches.
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Experience with Google Cloud Platform (GCP), BigQuery, and Vertex AI.
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Exposure to Big Data platforms such as Hadoop and PySpark.
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Knowledge of Notebook-based IDEs like Jupyter and workflow tools such as Airflow.
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Understanding of ML deployment, governance, and regulatory considerations.
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Familiarity with product and project management tools like JIRA, Rally, and Confluence.
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Excellent verbal and written communication skills.
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Bachelor’s or Master’s degree in Computer Science, Information Technology, Mathematics, or a related discipline.
Good to Have
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Experience designing or contributing to AI platforms or reusable ML frameworks.
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Prior exposure to fraud risk, credit risk, or decision science domains.
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Experience working with cross-functional global teams.
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Strong stakeholder management and product storytelling skills.
Why Join American Express
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Work on AI/ML products that impact millions of customers worldwide.
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Exposure to industry-leading AI, risk, and fraud decisioning systems.
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Strong culture of innovation, learning, and leadership development.
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Competitive compensation with bonus incentives and comprehensive benefits.
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Flexible hybrid work model supporting work–life balance.
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Access to global wellness programs, learning platforms, and career growth opportunities.
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