Analyst-Data Science

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

Work with American Express’ Credit & Fraud Risk (CFR) Analytics & Data Science CoE to develop, deploy, and validate predictive models that drive profitable decisions across risk, fraud, and marketing. Apply analytics and machine learning to turn large-scale data into actionable economic logic, improving risk management and enabling better commerce experiences. Collaborate with cross-functional partners while applying techniques such as supervised/unsupervised learning and graphical/Bayesian models.

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FursaFursa
American Express
American Express
1 day ago

Analyst-Data Science

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Work with American Express’ Credit & Fraud Risk (CFR) Analytics & Data Science CoE to develop, deploy, and validate predictive models that drive profitable decisions across risk, fraud, and marketing. Apply analytics and machine learning to turn large-scale data into actionable economic logic, improving risk management and enabling better commerce experiences. Collaborate with cross-functional partners while applying techniques such as supervised/unsupervised learning and graphical/Bayesian models.
Location: Gurugram, Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key Responsibilities

  • •Develop, deploy, and validate predictive model(s) for risk, fraud, and marketing.
  • •Support the use of models in economic logic to enable profitable decisions.
  • •Analyze large amounts of data to derive business insights and build innovative solutions.
  • •Leverage closed-loop approaches within the Amex network to make decisions more intelligent and relevant.
  • •Communicate and structure business findings for leadership and key partners.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisabilityRetirementPaid LeaveRemote Work

Key Requirements

  • •MBA or master’s degree in economics, statistics, computer science, or a related field.
  • •0–30 months of experience in analytics or big data workstreams.
  • •Strong communication and interpersonal skills.
  • •Ability to drive project deliverables to achieve business results.
  • •Ability to learn quickly, work independently on complex initiatives, and integrate with cross-functional partners.
Education:Master's
Skills:TeamworkCommunicationInterpersonal skillsProblem-solvingIndependent workCross-functional collaboration
Tech Stack:SASRPythonHiveSparkSQLActive learningTransfer learningNeural modelsDecision treesReinforcement learningGraphical modelsGaussian processesBayesian modelsMap ReduceAttribute engineering

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