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American Express
American Express
B2BBankingFinance
American Express is a global financial services company operating across banking, finance, and B2B payments. Its business includes consumer, business, and corporate credit cards; payment and merchant services; savings accounts, certificates of deposit, and personal loans; as well as rewards, travel programs, corporate payment solutions, financial education, security services, and cardmember and merchant support.
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Senior Data Science Analyst, Machine Learning and GenAI – American Express, Gurugram Hybrid

Senior Analyst developing machine learning, GenAI, and decision-science solutions for American Express servicing. The role covers predictive modeling, recommendations, experimentation, and production-ready AI capabilities.

INIndiaHybridFull-timeSeniorEnglish RequiredData Analyst
PythonSQL

Description

  • Create analytical solutions, predictive models, recommendation systems, and decisioning methods that improve servicing, personalization, colleague effectiveness, and operational performance.
  • Analyze large customer, behavioral, interaction, and operational datasets to uncover opportunities, engineer features, test hypotheses, and turn findings into practical solutions.
  • Develop and assess machine learning and GenAI solutions using suitable modeling, experimentation, and validation methods.
  • Support Agentic AI workflows, transformer-based recommendations, Conversational AI and LLM applications, and advanced personalization or next-best-action initiatives.
  • Design experiments and performance measures to evaluate AI quality, model effectiveness, business impact, and opportunities for ongoing improvement.
  • Produce robust analytical code and collaborate with data, technology, and platform teams on productionization, monitoring, and continuous enhancement of Decision Science solutions.
  • Build cross-functional partnerships, explain analytical findings clearly, and convert technical results into actionable recommendations.
  • Track developments in machine learning, GenAI, recommendation systems, and decision intelligence while testing relevant methods and sharing reusable practices across GSDS.

Requirements

  • Master’s degree in a quantitative discipline such as engineering, computer science, mathematics, statistics, economics, or finance.
  • At least two years of professional experience in data science, machine learning, advanced analytics, or a related quantitative field.
  • Proficiency in Python, SQL, or comparable analytical tools, with experience developing models such as tree-based, regression, classification, or clustering techniques.
  • Exposure to LLMs, GenAI, or modern deep learning, together with a strong interest in emerging AI capabilities.
  • Strong analytical and conceptual reasoning, including the ability to address complex, unstructured business problems.
  • Clear written and verbal communication skills and the ability to work effectively with cross-functional partners.
  • Practical exposure to Agentic AI frameworks, transformer architectures, transformer-based recommendation systems, Conversational AI, LLM applications, embeddings, or semantic modeling.
  • Experience with personalization, recommendation systems, next-best-action, optimization, experimentation, or customer decisioning.
  • Experience processing and analyzing large structured or unstructured datasets and converting models into scalable analytical solutions.
  • Understanding of model and AI evaluation, productionization, monitoring, or MLOps and LLMOps concepts.
  • Curiosity about customer servicing and the ability to connect technical work with measurable customer and business results.

Benefits

  • Competitive base salary.
  • Bonus incentive opportunities.
  • Support for financial well-being and retirement planning.
  • Medical, dental, vision, life insurance, and disability coverage, subject to location.
  • Flexible hybrid, on-site, or virtual work arrangements based on the role and business needs.
  • Generous paid parental leave, subject to location.
  • Complimentary access to global on-site wellness centers staffed by nurses and doctors, subject to location.
  • Free, confidential counseling through the Healthy Minds program.
  • Career development and training opportunities.

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