Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

The Visa Internship Program is the biggest step you can take to joining our Revolution of Payments Innovation. Throughout your 12 weeks at Visa, you will take on meaningful work, get executive exposure, engage in out-of-the-box problem solving, and participate in social and community service activities. From technology to business, we are looking for people who can innovate, collaborate, and drive Visa into the next era of an already rapidly evolving digital marketplace. If you’re up for the challenge, do consider joining us!

We are looking for Data Science Interns to join us in the following functions:

Risk Solutions

Visa’s CyberSource Managed Services division is to be the unrivaled advisor for payment-related risk management, with a vision to be the most valuable partner in lasting client relationships. This team is the consultative arm of CyberSource that offers a vast portfolio of solutions to our merchant, partner, and acquirer portfolios, through the design and delivery of projects with the appropriate analytic methodologies and techniques to solve clients’ business objectives. The team is responsible for guiding CyberSource customers in managing payment-related risks, which include account takeovers, unauthorized payments, and promotion abuse. 

Visa Consulting & Analytics – Data Science
The Data Science team is a key part of the decision management engine at Visa. This is a high-performing team of data scientists, data analysts, statisticians, and business analysts from a variety of countries – serving major Financial Institutions and merchants in Asia Pacific. The team works with large data sets using quantitative techniques and builds complex statistical models that learn from big data, working across multiple teams and functions to develop cutting edge, creative and advanced analytic solutions and processes.  

Flex Work Arrangement - Hybrid Position - This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office three days a week based on business needs.

Qualifications

• Penultimate year undergraduate/ Postgraduate students who are available to work full-time for 12 weeks between May 2024 and August 2024.
• Legal authorization to work in China - Visa will not sponsor applicants for work visas in connection with this position.
• Pursuing a degree in Computer Science, Data Analytics, Data Science, Information Technology, Statistics, or a related STEM/quantitative field.
• Proficient in one or more database tools, such as Hadoop/HIVE/SQL, and programming language such as Python/Pyspark.
• Experience in delivering analytics solutions using any Machine Learning framework.
• Experience with visualization and reporting tools, such as advanced user of PPT, Power BI, Tableau, open-source tool, or similar.
• Exhibit intellectual curiosity and strive to continually learn.
• Banking & payment industry experiences are preferred.

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.