Analyst, Data Scientist – AI/ML & Generative AI
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.
Want more jobs like this?
Get jobs in Singapore delivered to your inbox every week.

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.
Perks and Benefits
Health and Wellness
- Long-Term Disability
- HSA With Employer Contribution
- On-Site Gym
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Health Reimbursement Account
- Mental Health Benefits
- Virtual Fitness Classes
- HSA
Parental Benefits
- Fertility Benefits
- Family Support Resources
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Commuter Benefits Program
- Company Outings
- On-Site Cafeteria
- Holiday Events
- Happy Hours
- Casual Dress
Vacation and Time Off
- Paid Holidays
- Paid Vacation
- Volunteer Time Off
- Summer Fridays
- Leave of Absence
- Personal/Sick Days
Financial and Retirement
- 401(K)
- Relocation Assistance
- Performance Bonus
- Stock Purchase Program
- Company Equity
- 401(K) With Company Matching
- Financial Counseling
Professional Development
- Shadowing Opportunities
- Access to Online Courses
- Promote From Within
- Learning and Development Stipend
- Tuition Reimbursement
- Mentor Program
- Leadership Training Program
- Associate or Rotational Training Program
- Lunch and Learns
- Internship Program
- Professional Coaching
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)