Senior Analyst – Data Science

American Express

. Develop and implement Proof of Concepts (PoCs) prototypes for AI/ML and Generative AI solutions aligned with business objectives .

Posted 10/22/2026full-timeSingapore • SingaporeSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and implementing AI/ML and Generative AI solutions, with strong programming skills in Python or Java, and a solid understanding of machine learning frameworks. Proven ability to collaborate across teams and translate complex real-world problems into data science challenges.

Highest-signal resume keywords

Advanced Degree In Quantitative DisciplineStrong Programming Skills In PythonMachine Learning Libraries And FrameworksExtensive Experience In Machine Learning And NLPSolid Understanding Of Large Language Models

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningNatural Language ProcessingGenerative AIDeep LearningData ProcessingModel TrainingAlgorithm OptimizationPrototypingScalabilityCode Documentation

Soft Skills

Excellent Communication SkillsCollaboration Skills

Tools & Technologies

TensorFlowPyTorchScikit-learn

Industry Keywords

Proof Of ConceptsAI SolutionsBusiness ObjectivesTechnical DiscussionsCreditFraudRiskWebMobileEnterprise Automation

Tech Stack

Tools & technologies

JavaPythonPyTorchScikit-LearnTensorflowC++

About the role

Key responsibilities & impact

Develop and implement Proof of Concepts (PoCs) 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 abreast of the latest trends in AI/ML and share knowledge and insights with the team
Participate in technical discussions and forums across Amex
Collaborate with business and product partners across Credit, Fraud, Risk, Web, Mobile, Marketing, and Enterprise Automation to deliver strategic AI solutions

Requirements

What you’ll need

Advanced degree (Master/ PhD) in quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics)
Strong programming skills in at least one language (Python, Java, C++, etc.)
Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and data processing libraries
Extensive experience in machine learning, NLP and Generative AI, with a demonstrated ability to build scalable prototypes from inception to solution
Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects on real-world problems
Solid understanding of Large Language Models and practical experience with Generative AI
Strong ability to translate real-world problems to data science problems
Excellent communication and collaboration skills, with the ability to collaborate effectively with both technical and non-technical teams
Successful completion of a background verification check as a condition of employment

Benefits

Comp & perks

Competitive base salaries
Bonus incentives
Support for financial well-being and retirement
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
Generous paid parental leave policies (depending on your location)
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities