Senior Analyst-Data Science

American Express
Gurugram
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsEducation: bachelorsSkills: ["Analytical and problem-solving","Experimentation mindset","Collaboration","Communication (written and verbal)","Attention to detail"]

Build and maintain analytical and GenAI-powered solutions to solve business problems for prospect targeting and acquisition. Develop predictive models and data products, design and evaluate LLM workflows such as RAG and prompt engineering, and run experiments to optimize quality, accuracy, efficiency, and impact. Handle large-scale data work (extraction, feature engineering, validation), assess model performance and governance under Responsible AI principles, and communicate results to technical and non-technical stakeholders.

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FursaFursa
American Express
American Express
1 day ago

Senior Analyst-Data Science

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 30 minutes agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Build and maintain analytical and GenAI-powered solutions to solve business problems for prospect targeting and acquisition. Develop predictive models and data products, design and evaluate LLM workflows such as RAG and prompt engineering, and run experiments to optimize quality, accuracy, efficiency, and impact. Handle large-scale data work (extraction, feature engineering, validation), assess model performance and governance under Responsible AI principles, and communicate results to technical and non-technical stakeholders.
Location: Gurugram
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop and test analytical models and AI-enabled data products (predictive models, prospect scoring, prioritization, matching, enrichment, and decision support) to improve targeting and acquisition.
  • •Design and evaluate Generative AI workflows including RAG, embeddings-based retrieval, semantic search, prompt engineering, structured outputs, and LLM-powered applications.
  • •Execute experiments to evaluate prompting strategies, retrieval configurations, model selection, and workflow architectures, optimizing quality, accuracy, efficiency, and business impact.
  • •Perform data extraction, preparation, feature engineering, and data quality validation on large-scale datasets to support AI/ML development and analytical initiatives.
  • •Collaborate with product, engineering, and business stakeholders to implement, deploy, monitor, and continuously improve solutions, while ensuring Responsible AI compliance and communicating insights clearly.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisability BenefitsRetirementPaid ParentalRemote WorkPaid LeaveLearning BudgetWellness StipendCounseling

Key Requirements

  • •2+ 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 and hands-on ML model development end-to-end with Git-based version control.
  • •Demonstrated hands-on experience building or experimenting with LLM-based applications such as RAG, prompt engineering, semantic search, embeddings, structured outputs, or AI-powered assistants.
  • •Knowledge of supervised machine learning and statistical techniques (e.g., hypothesis testing, multivariate testing, ANOVA) and model evaluation methodologies.
  • •Familiarity with Responsible AI principles including explainability, bias/fairness assessment, hallucination mitigation, prompt safety, monitoring, evaluation, and GenAI risk management practices.
Experience:2+ years
Education:Bachelor's
Skills:Analytical and problem-solvingExperimentation mindsetCollaborationCommunication (written and verbal)Attention to detail
Languages:English
Tech Stack:PythonSQLHivePySparkMachine learningGenerative AILLMRAGRetrieval-Augmented GenerationEmbeddingsSemantic searchPrompt engineeringStructured outputsGitVector databasesLangChainLlamaIndexDSPyHypothesis testingMultivariate testing

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