Analyst-Data Science
American Express · Posted Oct 30
Banking, credit card, payment network, and travel services
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About the role
The AIM (Analytics, Investment & Marketing Enablement) team, part of GCS Marketing at American Express, is the analytical engine supporting the Global Commercial Services portfolio, focused on growth, profitability, and value proposition. The Prospect Cross-functional team works on prospect targeting and acquisition analytics using advanced machine learning, predictive modeling, optimization, and Generative AI. This Analyst – Data Science role in India executes analytical workstreams and builds scalable AI-powered capabilities across prospect enrichment, intelligent targeting, lead prioritization, and decision support, working with data scientists, product managers, engineers, and business stakeholders.
What you will do
- Execute analytical and data science solutions to solve business problems using statistical techniques, machine learning, and modern Generative AI approaches.
- Develop, test, and maintain analytical models and AI-enabled data products—including predictive models, prospect scoring, prioritization, matching, enrichment, and intelligent decision-support capabilities—to improve targeting and acquisition effectiveness.
- Design, build, and evaluate Generative AI workflows, including Retrieval-Augmented Generation (RAG), embedding-based retrieval, semantic search, prompt engineering, structured outputs, and LLM-powered applications, selecting appropriate approaches based on business requirements, solution quality, scalability, latency, cost, and governance considerations.
- Design and execute experiments to evaluate prompting strategies, retrieval configurations, model selection, and workflow architectures, continuously optimizing solution quality, response accuracy, operational efficiency, and business impact.
- Perform data extraction, preparation, feature engineering, and data quality validation using large-scale datasets to support AI/ML model development and analytical initiatives.
- Apply statistical and machine learning techniques to improve model performance through experimentation, feature refinement, validation, and continuous model optimization using established best practices.
- Collaborate with product, engineering, and business stakeholders to support the implementation, deployment, monitoring, and continuous improvement of analytical and Generative AI solutions within business workflows.
- Evaluate AI and GenAI solution performance using quantitative and qualitative evaluation techniques, including model performance metrics, retrieval quality, response accuracy, prompt robustness, business outcome measures, and production monitoring.
- Communicate analytical findings, model outputs, and business insights clearly through presentations and technical documentation for both technical and non-technical stakeholders.
- Ensure compliance with Responsible AI principles, model governance, data integrity, explainability, bias assessment, prompt safety, monitoring, audit readiness, and enterprise risk management standards throughout the analytical development lifecycle.
Skills used in this role
What the employer is looking for
- Degree in a quantitative field preferred, such as Engineering, Mathematics, Computer Science, Finance, Economics, Statistics, or a related discipline.
- 1+ years of experience in data science, advanced analytics, machine learning, decision science, or related quantitative roles.
- Strong programming skills in Python and SQL, with working knowledge of Hive and/or PySpark in large-scale data environments, hands-on experience developing machine learning models end-to-end, and familiarity with software engineering best practices including Git-based version control.
- Demonstrated hands-on experience building or experimenting with LLM-based applications, including Retrieval-Augmented Generation (RAG), prompt engineering, semantic search, embeddings, structured outputs, or AI-powered assistants.
- Knowledge of supervised machine learning techniques (e.g., gradient boosting, tree-based models, regression, clustering) and statistical techniques such as hypothesis testing, multivariate testing, ANOVA, and model evaluation methodologies.
- Exposure to AI agent frameworks, tool/function calling, vector databases, LLM orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy), context management, or workflow automation is a plus.
- Familiarity with modern ML/AI development frameworks, open-source libraries, prompt lifecycle management, and evaluation frameworks.
- Strong analytical and problem-solving skills, with the ability to execute well-defined analytical tasks accurately and efficiently.
- Demonstrated ability to manage assigned work independently while collaborating effectively within a cross-functional team.
- High attention to detail, intellectual curiosity, and an experimentation mindset with the ability to evaluate solutions objectively and iterate based on evidence.
- Strong written and verbal communication skills, with the ability to clearly explain analytical findings and support stakeholder discussions.
- Familiarity with Responsible AI principles, including explainability, bias and fairness assessment, hallucination mitigation, prompt safety, model monitoring, evaluation, audit readiness, and GenAI risk management practices.
Benefits and support
- Competitive base salaries
- Bonus incentives
- Support for financial-well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
About American Express
American Express Company is a globally recognized multinational financial services corporation specializing in payment cards, travel-related services, and network banking. Founded in 1850, the company provides charge and credit cards, expense management products, and merchant services to consumers, small businesses, and large corporations worldwide. It operates a proprietary payments network known for its premium customer engagement and lifestyle rewards programs.
- Industry
- Banking
- Company size
- 76800 employees
- Founded
- 1850-03-18
- Location
- New York City, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Information Officer and Executive Vice President
Chief Colleague Experience Officer
Chief Marketing Officer
Recent coverage
Investing.com
AmEx lifts 2026 profit forecast, plans to cut 5% of workforce2026-10-23
Associated Press
American Express profits rise; company plans to cut workforce by 5%, or about 3,500 employees2026-10-24
MarketScreener
American Express raises 2026 profit forecast as affluent customers keep spending2026-10-23
GuruFocus
American Express Co (AXP) Q3 2026 Earnings Call Highlights: Record $20.1 Billion Revenue2026-10-24