Manager -Data Science

American Express
Gurugram, Bengaluru
Workplace: HybridFull timeFunction: Data Science & Machine LearningEducation: phdSkills: ["Analytical problem-solving","Ownership","Cross-functional collaboration","Stakeholder communication","Experiment design"]

Lead the development of advanced analytics and GenAI solutions for American Express’ GCS Marketing analytics organization. Own end-to-end work from research and experimentation through deployment and measurable value realization across acquisition, personalization, engagement, and US SME distribution efficiency. Build production-grade real-time targeting, next-best-action decisioning, conversational optimization, and automated insights using scalable ML/LLM systems, partnering with Marketing, Sales, Product, and Technology teams.

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FursaFursa
American Express
American Express
4 days ago

Manager -Data Science

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Job Summary

Lead the development of advanced analytics and GenAI solutions for American Express’ GCS Marketing analytics organization. Own end-to-end work from research and experimentation through deployment and measurable value realization across acquisition, personalization, engagement, and US SME distribution efficiency. Build production-grade real-time targeting, next-best-action decisioning, conversational optimization, and automated insights using scalable ML/LLM systems, partnering with Marketing, Sales, Product, and Technology teams.
Location: Gurugram, Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Lead development of advanced analytics and GenAI solutions that strengthen core capabilities across GCS Marketing.
  • •Translate SOTA GenAI technologies into scalable, production-grade systems that drive measurable business impact.
  • •Build and deploy real-time targeting, next-best-action decisioning, conversational optimization, and automated insights.
  • •Quantify incremental impact by leading experimentation, performance measurement, and continuous model optimization.
  • •Partner cross-functionally with Marketing, Sales, Product, and Technology teams to ensure implementation and adoption with clear outcomes.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisabilityRetirementPaid ParentalCounseling

Key Requirements

  • •Master’s or PhD in a STEM field (Computer Science, Engineering, Statistics, Mathematics, Physics, or related quantitative discipline).
  • •Strong industry experience building and deploying ML and/or LLM-based solutions in production environments.
  • •Advanced proficiency in Python and SQL, including developing, testing, and iterating on scalable data and ML systems.
  • •Experience implementing GenAI use cases such as prompt engineering, retrieval-augmented generation (RAG), model evaluation, and integration with structured data systems.
  • •Ability to quantify business impact: design experiments, evaluate results, and communicate findings to senior stakeholders.
Education:PhD / Doctorate
Skills:Analytical problem-solvingOwnershipCross-functional collaborationStakeholder communicationExperiment design
Tech Stack:PythonSQLMachine LearningLLMGenAIRAGPrompt engineeringReinforcement learningAgent-based systemsRecommendation systemsSequence miningCausal inferenceLangChainHuggingfaceNemoPyTorch

Company Brief

American Express
Provides global payment, credit, and travel-related financial services for consumers and businesses. Best known for its charge and credit cards, merchant payment network, and premium customer rewards and servicing.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York City, United States
Founded: 1850
WebsiteLinkedIn