Data Science Intern, Global Data Office - Summer 2026

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

Visa’s Internship Program provides an immersive, 12-week journey where you’ll work on impactful projects that drive Visa’s mission forward. As a Visa intern, you’ll build valuable connections across the organization, sharpen your communication and business acumen, and gain hands-on experience in a dynamic, global environment. 

Throughout the program, you’ll have exclusive access to interactive workshops and learning sessions designed to deepen your expertise, expand your industry knowledge, and elevate your professional skillset. You won’t just be learning, you’ll be contributing, collaborating, and innovating every step of the way. In addition to professional development, you’ll enjoy a variety of intern social events that foster community, connection, and fun throughout the summer 

The experience culminates in an exciting final presentation, where you’ll showcase your project achievements, share key insights, and present your recommendations to Visa’s leaders and stakeholders. This is your chance to demonstrate your business impact, highlight your personal growth, and align your work with Visa’s vision for the future. 

Team Description:

The Data 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 all over the world. The team utilizes quantitative methodologies to analyze extensive data sets and develops sophisticated statistical models that leverage big data. Collaborating across various teams and functions, they design innovative and advanced analytical solutions and processes. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. To support our rapidly growing group, we are looking for Data Science Interns who are passionate about the opportunity to use Visa’s rich data to address and deliver significant results to complex problems!   

As a Data Science Intern, you will be responsible for developing Data Analytics solutions to solve business problems. The intern will take part in developing and refining our data models and solutions through a highly collaborative process. They will work with different teams and data sets, apply much of the knowledge they gained at their university, and develop professional experience.  

Potential responsibilities include: 

• Prepare and manage datasets using tools such as Python, SQL, Spark, or Hive, including efficient data wrangling and fulfillment of ad-hoc requests. 
• Conduct business data analyses to uncover key insights and effectively communicate findings to stakeholders. 
• Design and develop BI tools using platforms like Power BI and Tableau. 
• Interpret and analyze data by understanding BI pipelines, performing exploratory and machine learning–based analytics, and delivering actionable insights. 
• Monitor and enhance BI tools by identifying insights, creating demos, and enabling teams to maximize tool value. 
• Execute large-scale data analytics to extract and present meaningful business insights. 
• Recommend improvements to tools and techniques that optimize existing processes or support new initiatives with long-term value. 

Qualifications

Basic Qualifications:

• Pursuing a Bachelor’s or Masters's degree in Computer Science, Data Analytics, Data Science, Information Technology, Statistics, or a related STEM/quantitative field , graduating December 2026 – August 2027 
•  Strong communications skills, specifically, the absence of repeated grammatical or typographical errors, clear and concise written and spoken communications that demonstrate professional judgment. 

Preferred Qualifications:

• Experience in understanding and analyzing data using statistical software (e.g., Python, SAS, R, Stata or others) 
• Experience with visualization and reporting tools, such as advanced user of PPT, Power BI, Tableau, open-source tool, or similar. 
• Exhibits intellectual curiosity and strives to continually learn. 
• Previous exposure to financial services, credit cards or merchant analytics is a plus