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
The position will be based in Visa’s Sydney office. We seek a data and AI consultant with experience in data preparation, data analysis and implementing AI-centric solutions. You will be working with VISA’s big data sets and in certain cases in conjunction with our clients’ data. You will also be involved in preparing presentation slides to pitch the solutions or final deliverables to the clients.
The candidate should possess hands on experience with associated technologies and ability to collaborate across teams and functions to deliver value to VISA and our clients.
The successful candidate will address various merchant issues, including marketing analytics, loyalty, and store optimization using Visa data. They must have a highly analytical bent of mind and requisite skills to independently analyse and interpret data insights.
We need a dedicated, proactive, and energetic who accepts challenges and is a confirmed problem solver.

• Work within the project team to support the design, development, and delivery of data science/engineering solutions to VISA clients, adhering to scope and timelines.
• Building and maintaining positive relationships with clients.
• Providing mentorship to junior team members.
• Partner with roles across the organisation including consultants, engineering, and data scientists to address prioritized business problems.
• Build data driven solutions aligned with client’s priorities and leading different vendors for the execution if required.
• Break large solutions into smaller, releasable phases and seek feedback from product owners, clients, and other partners.
• Define detailed scope and methodology, design and create solutions, and implement using appropriate tools and techniques.
• Support development of a robust system for measuring and optimising the quality of deployed algorithms and models.
• Maintain AI models in production to evaluate performance, model drift, and decay.
• Actively seek out opportunities to innovate by using VisaNet, external data and new modelling techniques fit for purpose to the needs of our clients.
• Make sure that the legal/compliance/security related requirements are fully adhered to