Senior Analyst-Data Science

American Express
Singapore
Workplace: HybridFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Communication","Collaboration","Problem translation","Knowledge sharing"]

Build and implement cutting-edge Generative AI solutions to tackle key business challenges. You will lead hands-on development, rapid prototyping, and evaluation of AI/ML models spanning machine learning, NLP, and large language models. Partner with cross-functional teams (e.g., Credit, Fraud, Risk, Web, Mobile, Marketing) to translate real-world problems into data science work, develop PoCs, and integrate solutions with engineering systems through well-documented, production-ready code.

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FursaFursa
American Express
American Express
2 days ago

Senior Analyst-Data Science

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Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Build and implement cutting-edge Generative AI solutions to tackle key business challenges. You will lead hands-on development, rapid prototyping, and evaluation of AI/ML models spanning machine learning, NLP, and large language models. Partner with cross-functional teams (e.g., Credit, Fraud, Risk, Web, Mobile, Marketing) to translate real-world problems into data science work, develop PoCs, and integrate solutions with engineering systems through well-documented, production-ready code.
Location: Singapore
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop and implement Generative AI solutions to address significant business challenges through hands-on implementation and rapid prototyping.
  • •Translate real-world problems into data science problems and build scalable ML prototypes from inception to solution.
  • •Write clean, efficient, well-documented code for data processing, model training, and deployment.
  • •Conduct experiments to evaluate model performance and optimize algorithms for scalability.
  • •Collaborate with technology and engineering teams to integrate solutions into existing systems and participate in technical discussions.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisability BenefitsRetirementParental LeaveCounseling Support

Key Requirements

  • •Advanced degree (Master or PhD) in a quantitative discipline such as Computer Science, Engineering, Statistics, or Mathematics.
  • •Strong programming skills in at least one language (Python, Java, or C++).
  • •Familiarity with machine learning libraries/frameworks and data processing libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • •Extensive experience applying machine learning, NLP, and Generative AI, including building scalable prototypes from inception to solution.
  • •Demonstrated ability with large language models and practical experience applying generative AI techniques to solve complex problems.
Experience:Machine learningNLPGenerative AIDeep learningData scienceLarge language models
Education:Master's
Skills:CommunicationCollaborationProblem translationKnowledge sharing
Tech Stack:PythonJavaC++TensorFlowPyTorchScikit-learnMachine learningNLPGenerative AILarge Language ModelsDeep learning

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