As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.

At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.

You're an Individual. We're the team for you. Together, let's transform the way the world pays.

What’s it all about?

Are your investigative skills worthy of CSI? Do your data visualisations make Tufte envious? Do you speak fluent SQL? Do you dream in code? If so, we want to hear from you — together, let’s make Visa a great place to work.

We are seeking a passionate and ambitious Senior Data Scientist to partner with Visa Consulting & Analytics and co-develop data-driven solutions to help Visa’s clients grow their businesses.

What we expect of you, day to day:

• Be a strategic partner to Visa Consulting & Analytics in the delivery of Data Science projects from ideation to client implementation
• Translate loosely defined problems into actionable recommendations, leading to value realisation
• Develop a deep understanding of Visa’s data assets and how they can be used to enhance client profitability across acquisition, usage, and retention
• Identify trends in our client work to inform Visa’s data product development path

Basic Qualifications
• Mid-level experience solving problems with real-world data
• Strong statistical knowledge and proven expertise in applying statistical solutions to business problems
• Understanding of the steps required in cleaning and transforming datasets
• Solid relational modelling (SQL) and programming skills (preferably in Python, R or Scala)
• Ability to communicate and engage with non-technical stakeholders

Preferred Qualifications
• A degree (or equivalent) in Computer Science, Statistics, Mathematics, or other quantitative discipline
• Experience in payments or banking
• Commercial experience with Big Data systems such as Hadoop and Spark, end-to-end implementation of ML systems, and/or Software Engineering best practices such as VCS and CI/CD