Associate, Data Scientist at Visa

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

09 Mar, 26

Salary

0.0

Posted On

09 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Generative AI, Deep Learning, Data Engineering, Python, SQL, Cloud Technologies, Statistical Techniques, Predictive Modelling, Feature Engineering, MLOps, Collaboration, Problem Solving, Attention to Detail, Presentation Skills

Industry

IT Services and IT Consulting

Description

Company Description Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you. Job Description Key Responsibilities: Assist in the execution of AI/ML and GenAI modelling projects, collaborating with internal and external stakeholders. Work cross‑functionally with diverse teams to deliver high‑impact AI‑driven business outcomes. Help define detailed AI/ML modelling scope, methodology, and develop a clear project plan. Support the project plan with appropriate AI, ML, deep learning, and data engineering techniques, including model development, evaluation, and deployment. Perform QA on data, models, and deliverables to ensure consistency, accuracy, and reliability. Maintain up‑to‑date project documentation and ensure all work aligns with the agreed AI/ML modelling plan. Support end‑to‑end project delivery, including model training, testing, deployment, scaling, and monitoring within timeline and budget. Contribute to evolving existing modelling practices by promoting GenAI methodologies, modern AI engineering workflows, MLOps, and best practices across the AI/ML lifecycle. Participate in full‑stack data science work, including data ingestion, feature engineering, model development, model serving, and front‑end or application‑layer integration where needed. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications: We welcome applications from Singapore citizens and Singapore Permanent Residents. All candidates must have existing, and continuing, right to work in Singapore. Has less than 18 months of relevant data science experience. Hands-on experience developing and deploying machine learning and GenAI models, scaling data solutions, and delivering full‑stack data science or AI engineering projects end‑to‑end. Proficiency in statistical and ML techniques such as regression, decision trees, random forests, neural networks, and modern deep learning methods. Knowledge of data mining and modelling techniques including predictive modelling, classification, clustering, and decision trees. Competency in software languages such as React. Experience with Python, SQL, and Cloud technologies for building, deploying, and scaling AI/ML solutions. Previous exposure to financial services or credit card analytics is a plus. Strong business acumen and the ability to frame and solve problems using data‑driven and AI‑driven methods. Team‑oriented, collaborative, and adaptable, with the ability to present technical insights to both technical and non‑technical audiences. High attention to detail to ensure data and model quality. Ability to translate complex AI/ML outputs into actionable recommendations. Experience presenting ideas, models, or analyses to stakeholders. Demonstrates intellectual curiosity and a strong desire to learn emerging AI technologies. 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.

Responsibilities

Assist in executing AI/ML and GenAI modelling projects while collaborating with various stakeholders. Support end-to-end project delivery, including model training, testing, deployment, and monitoring.