Analyst - Data Science

American Express
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Communication","Collaboration"]

Build and implement hands-on Generative AI and AI/ML solutions in an American Express Technology (AET) Decision Science CoE. Develop proof-of-concept prototypes aligned to business objectives, write well-documented code for data processing, model training, and deployment, and run experiments to evaluate and optimize model performance. Collaborate with cross-functional technology and engineering teams to integrate solutions into existing systems and share AI/ML insights.

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FursaFursa
American Express
American Express
1 month ago

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: 16 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build and implement hands-on Generative AI and AI/ML solutions in an American Express Technology (AET) Decision Science CoE. Develop proof-of-concept prototypes aligned to business objectives, write well-documented code for data processing, model training, and deployment, and run experiments to evaluate and optimize model performance. Collaborate with cross-functional technology and engineering teams to integrate solutions into existing systems and share AI/ML insights.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop and implement proof of concept (PoC) prototypes for AI/ML and Generative AI solutions aligned with business objectives.
  • •Write clean, efficient, and well-documented code for data processing, model training, and deployment.
  • •Collaborate with Technology and Engineering teams to integrate solutions into existing systems and platforms.
  • •Conduct experiments to evaluate model performance and optimize algorithms for scalability.
  • •Stay current with AI/ML trends and share knowledge and insights through technical discussions and forums.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisabilityRetirementHybrid WorkParental Leave

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 and frameworks (TensorFlow, PyTorch, scikit-learn) and data processing libraries.
  • •Extensive experience in machine learning, NLP, and Generative AI, with the ability to build scalable prototypes from inception to solution.
  • •Proven expertise applying deep learning and NLP techniques, with practical experience with Large Language Models and Generative AI, plus excellent communication and collaboration skills.
Experience:Machine learningNLPGenerative AIDeep learning
Education:Master's in quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics)
Skills:CommunicationCollaboration
Tech Stack:PythonJavaC++TensorFlowPyTorchScikit-learn

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