Data Scientist - Open Banking

Visa

Visa, a global leader in payments and technology, processes over 259 billion transactions annually across more than 200 countries. The company aims to connect the world with innovative, convenient, and secure payment networks. This role exists within Visa's Banking and Lending Technology sector to innovate the future of banking solutions.

In this role you can expect to have the responsibilities:

• Develop ML models to enhance transaction data.
• Collaborate with engineering teams on MLOps pipeline integration using Kubeflow.
• Train models on GPUs with PyTorch.
• Deploy scalable ML systems via Nvidia Triton Inference server.
• Work alongside cross-functional teams to align models with business objectives.

This role comes with the following benefits:

This role requires you to have:

• Master's Degree in Computer Science, Mathematics, Physics, or a related field.
• 2-3 years of experience in product development.
• Proficiency in Python and SQL (BigQuery).
• Experience with Deep Learning frameworks like PyTorch.
• Familiarity with MLOps pipeline technologies, especially Kubeflow.
• Expertise in training models on GPU hardware.
• Understanding of NLP and algorithms.

You would benefit from having:

• Experience with agentic LLM flows for structured data production.

Visa is committed to equal employment opportunities and considers applicants without regard to race, color, religion, etc. Candidates with criminal histories will be considered in accordance with EEOC guidelines and applicable laws.