Analyst-Data Science

American Express
Gurugram
Workplace: HybridFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Interpersonal skills","Teamwork","Independent work","Problem-solving"]

Develop, deploy, and validate predictive models that support profitable decisions across credit, fraud, and marketing. Leverage big data and machine learning to deliver better customer outcomes, including closed-loop decisioning using the Amex network. Partner with business teams to analyze large datasets, translate findings into clear recommendations, and innovate new modeling approaches that improve risk management and enable commerce.

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FursaFursa
American Express
American Express
4 days ago

Analyst-Data Science

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Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Develop, deploy, and validate predictive models that support profitable decisions across credit, fraud, and marketing. Leverage big data and machine learning to deliver better customer outcomes, including closed-loop decisioning using the Amex network. Partner with business teams to analyze large datasets, translate findings into clear recommendations, and innovate new modeling approaches that improve risk management and enable commerce.
Location: Gurugram
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Understand the core business and the levers behind key decisions.
  • •Analyze large datasets to derive business insights and create innovative solutions.
  • •Leverage closed-loop decisioning through the Amex network to improve decision intelligence.
  • •Innovate with big data and machine learning approaches to improve risk, fraud, and marketing outcomes.
  • •Articulate and structure business findings for leadership and key partners, while monitoring developments in finance/payments/analytics.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisabilityRetirementPaid LeaveCounselingHybrid Work

Key Requirements

  • •MBA or a master’s degree in economics, Statistics, Computer Science, or a related field.
  • •24-48 months of experience in analytics and big data workstreams.
  • •Ability to work effectively in a team environment and drive project deliverables to achieve business results.
  • •Strong communication and interpersonal skills, with experience learning quickly and working independently on complex, unstructured initiatives.
  • •Experience with SAS, R, Python, Hive, Spark, and SQL, including supervised/unsupervised ML techniques such as active learning and reinforcement learning.
Experience:Big dataMachine learningRisk analyticsFraud riskCredit riskMarketing analyticsFraud detection
Education:Bachelor's in economics, Statistics, Computer Science or related fields
Skills:CommunicationInterpersonal skillsTeamworkIndependent workProblem-solving
Tech Stack:SASRPythonHiveSparkSQL

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