Analyst - Data Science

American Express; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive base salaries

Bonus incentives

Healthcare benefits

Flexible working model

Parental leave

Job summary

American Express is seeking an Analyst, AI/ML to join a cross-functional team. You will develop generative AI solutions, prototype models, and collaborate with business partners to address real challenges.

This role emphasizes hands-on coding, rapid iteration, and working closely with data engineers and product teams to deploy scalable AI in risk, fraud, and customer interactions.

Qualifications

• Advanced degree in a quantitative discipline.
• Strong programming skills in Python and at least one other language (e.g., Java/C++).
• Experience with ML libraries and frameworks (TensorFlow, PyTorch, scikit-learn).
• Extensive ML/NLP/Generative AI experience with scalable prototypes.

Responsibilities

• Develop PoCs for AI/ML and Generative AI solutions aligned with business objectives.
• Write clean, well-documented code for data processing, model training, and deployment.
• Collaborate with Technology to integrate solutions into existing systems and platforms.
• Experiment to evaluate model performance and optimize for scalability.
• Stay current with AI/ML trends and share knowledge with the team.
• Collaborate with Engineering to enhance functionality and user engagement.

Skills

Python

Java/C++

ML libraries

NLP/Gen AI

Model deployment

Data processing

Education

Master/PhD in quantitative field

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Job Description

You will be part of an energetic A.I./Machine Learning cross-functional team, collaborating with various business/product partners (e.g. Credit, Fraud, Risk, Web, Mobile, Marketing, Enterprise Automation, etc.) to drive a cohesive set of solutions enabling the ever-growing strategic capabilities in the AI field.

Job Description

You will be part of an energetic A.I./Machine Learning cross-functional team, collaborating with various business/product partners (e.g. Credit, Fraud, Risk, Web, Mobile, Marketing, Enterprise Automation, etc.) to drive a cohesive set of solutions enabling the ever-growing strategic capabilities in the AI field. This role resides within American Express Technology (AET) – Enterprise Services Decision Science Center of Excellence (CoE).

Role Overview

As an Analyst, AI/ML, you will play a crucial role in the development and implementation of cutting‑edge Generative AI solutions that address significant business challenges. This role focusses on hands‑on implementation, rapid prototyping, and collaboration with cross‑functional teams to deliver innovative solutions that address real business challenges. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.

Responsibilities

• Develop and implement Proof of Concepts (PoCs) prototypes for AI/ML and Generative AI solutions, ensuring alignment with business objectives.
• Write clean, efficient, and well‑documented code for data processing, model training, and deployment.
• Collaborate with the Technology team to integrate solutions into our 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 actively share knowledge and insights to contribute to the collective growth and technical proficiency of the team.
• Collaborate with the Engineering team to integrate solutions into our existing systems and platforms, enhancing functionality and user engagement.
• Actively participate in technical discussions and forums across Amex

Qualifications

• 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.

About Us

At American Express, our culture is built on a 175‑year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world‑class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well‑being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

About The Team

• 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

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.