Analyst, Data Scientist - AI/ML & Generative AI

Visa; Singapore; Hybrid; SGD 75,000 - 110,000; Full time

Job summary

A leading payment technology company in Singapore is looking for a Data Scientist to contribute to AI and ML projects. With 5 years of relevant experience, you'll collaborate with teams to deliver insights and support data science workflows. Key requirements include proficiency in Python, SQL, and machine learning models. The role also emphasizes maintaining documentation and ensuring data quality. This position is hybrid, with in-office expectations defined by the hiring manager.

Qualifications

• 5 years of relevant data science experience.
• Hands‑on experience building and deploying machine learning models.
• Proficiency in key modelling techniques like regression and neural networks.

Responsibilities

• Contribute to end-to-end AI/ML and Generative AI projects.
• Collaborate with cross-functional teams to deliver AI-driven insights.
• Support full-stack data science workflows, including model training.

Skills

Data science experience

Machine learning models

Python

SQL

React

Analytical thinking

Attention to detail

Tools

Cloud technologies

DevOps

Job description

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Responsibilities:

• Contribute to end‑to‑end AI/ML and Generative AI projects, helping translate business needs into technical solutions and participating in model design, development, and deployment.
• Collaborate with cross‑functional teams—including product, engineering, and analytics—to deliver AI‑driven insights and solutions.
• Participate in designing modelling approaches, selecting algorithms, defining evaluation metrics, and preparing datasets for training and validation.
• Support full‑stack data science workflows, including data ingestion, feature engineering, model training, testing, deployment, and monitoring.
• Implement and maintain AI pipelines using tools and frameworks aligned with LLMOps, AgenticAIOps, and DevOps best practices under guidance from more senior team members.
• Assist in building GenAI and agentic AI components such as prompt pipelines, retrieval‑augmented systems, workflow automation, or agent orchestration.
• Conduct thorough reviews and QA for data quality, model performance, and deliverables to ensure accuracy and reliability.
• Keep documentation, model artefacts, and project materials current and aligned to modelling and operational standards.
• Contribute to knowledge‑sharing, experimentation, and adoption of new AI/ML methods within the team.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

What you will need:

• 5 years of relevant data science experience.
• Hands‑on experience building and deploying machine learning and/or Generative AI models.
• Proficiency in key modelling techniques such as regression, decision trees, ensemble methods, neural networks, and related ML algorithms.
• Experience with Python, SQL, and cloud technologies for developing and scaling AI solutions.
• Competency in software languages such as React for integrating AI solutions into applications or visual interfaces.
• Understanding of data mining, predictive modelling, classification, clustering, or other ML approaches.
• Exposure to or familiarity with modern operational practices such as DevOps, LLMOps, or AgenticAIOps.
• Ability to communicate insights clearly to both technical and non‑technical audiences.
• Strong analytical thinking, attention to detail, and commitment to data/model quality.
• Demonstrated interest in learning emerging AI technologies and best practices.
• Previous exposure to financial services or credit card analytics is a plus.

Preferred Qualifications:

• Experience in developing and applying Generative AI and Agentic AI solutions.
• Experience in geospatial data analysis.
• An innovative and unyielding eager to learn the latest DS/AI techniques

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.