Data Science Intern, Global Data Office

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, but not required
• Experience with extracting and aggregating data from large data sets using SQL or other tools
• Understanding of ML techniques
• Competence in Excel, PowerPoint and Tableau

Additional Information

U.S. APPLICANTS ONLY: The estimated hourly range for a new hire into this position is $40/hr to $45/hr which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location.

Work Authorization: Visa will not sponsor applicants for work visas in connection with this position. Future sponsorship will not be considered.

Work Hours: Varies upon the needs of the department

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

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.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.