Senior Analyst - Data Science

AMERICAN EXPRESS INTERNATIONAL INC.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

AMERICAN EXPRESS INTERNATIONAL INC. is seeking an AI/ML Analyst in Singapore to develop cutting-edge Generative AI solutions and hands-on prototypes addressing real business challenges.

You will work closely with cross-functional teams across Credit, Fraud, Risk, Web, Mobile, Marketing and Automation, delivering impactful AI-driven capabilities. The role emphasizes rapid prototyping, collaboration with business partners, and hands-on implementation of PoCs, model training, deployment, and

Qualifications

• Advanced degree (Master/PhD) in a quantitative discipline.
• Strong programming skills in Python, Java or C++.
• Familiarity with ML libraries: TensorFlow, PyTorch, scikit-learn.
• Extensive experience in ML, NLP and Generative AI with scalable prototypes.
• Proven ability to apply DL and NLP to real-world problems.

Responsibilities

• Develop PoCs/prototypes for AI/ML and Generative AI solutions.
• Write clean, efficient code for data processing, model training and deployment.
• Collaborate with Technology and Engineering teams to integrate solutions.
• Conduct experiments to evaluate model performance and optimize for scalability.
• Stay abreast of AI/ML trends and share knowledge within the team.
• Participate in technical discussions across Amex.

Skills

Python

Java

C++

NLP

Generative AI

Machine Learning

Deep Learning

Data Processing

Education

Master/PhD in Computer Science/Engineering/Statistics/Mathematics

Tools

TensorFlow

PyTorch

scikit-learn

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.

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

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.