About UsVisa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.
Visa will accept applications for this role until at least 11-06-2026
Job DescriptionVisa'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.
Data is central to Visa's strategy, innovation, and long-term growth. Across the company, we are focused on using data responsibly to create value for consumers, businesses, clients, partners, and communities around the world. Guided by Visa's Data Values and our commitment to trusted, responsible data use, Visa is continuing to expand its data capabilities, strengthen its data-driven products, and identify new ways to support the future of digital payments.
Visa's Data & AI Team, led by the Chief Data Officer, plays a key role in advancing this work across the enterprise. The team owns strategic initiatives related to data business strategy, product development, investment priorities, governance, policy, and marketplace execution. In close partnership with the Chief Privacy Officer, Technology teams, business units, regional teams, and the broader Visa data community, the Data & AI Team drives high-impact efforts shaping how Visa uses data to drive innovation and deliver trusted solutions at scale
The Data & AI Team is seeking Data Science interns to help develop insights, analytical frameworks, and models that inform business strategy, product development, operational performance, and client outcomes. As an intern, you will work with cross-functional partners across data science, product, technology, data & analytics, privacy, governance, and regional and global business teams to apply data-driven approaches to complex business challenges.
In this role, you may support activities such as exploratory data analysis, feature development, statistical modeling, machine learning, experimentation, forecasting, performance measurement, and decision modeling. You will help translate data into actionable insights, evaluate opportunities and tradeoffs, and support model-informed decisions that improve products, platforms, customer experiences, and business outcomes.
This internship offers the opportunity to gain hands-on experience in data science and decision science within a global company. You will contribute to meaningful analytical and modeling initiatives, strengthen your technical and business skills, and help advance responsible, data-driven innovation across Visa's global business.
All Visa roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.
Potential responsibilities include:- Analyze large-scale datasets using modern, cloud-based data and analytics platforms, applying tools such as Claude Code, Python, SQL, Spark, and other cloud-native technologies.
- Leverage governed data assets and reusable pipelines to conduct exploratory analysis, develop features, evaluate trends, and generate insights for business, product, client, and operational use cases.
- Apply data science and decision science methods, including statistical analysis, machine learning, experimentation, forecasting, segmentation, optimization, performance measurement, and decision modeling.
- Develop and evaluate models and decision frameworks that help teams understand business opportunities, assess tradeoffs, and make responsible, data-informed decisions.
- Create and enhance dashboards and visualizations using platforms such as PowerBI, Tableau, and conversational BI tools to communicate trends, metrics, and performance.
- Translate analytical findings into actionable recommendations and communicate insights clearly to both technical and non-technical stakeholders.
- Collaborate with cross-functional teams across data science, product, technology, data & analytics, privacy, governance, and regional and global partners
- Recommend improvements to analytical workflows, tools, and processes with a focus on scalability, reuse, automation, and long-term business value.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
QualificationsBasic Qualifications- Pursuing a Bachelor's or Master's degree in Computer Science, Data Analytics, Data Science, Information Technology, Statistics, or a related STEM/quantitative field, graduating December 2027- August 2028
- 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 tools, 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 $46 to $55 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.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Information for US ApplicantsFor roles located in the US, the estimated hourly rate is $46 to $55 USD. The hourly rate may vary depending on job-related factors which may include knowledge, skills, experience, and location.
Work HoursVaries upon the needs of the department.
Travel RequirementsThis position requires travel 5-10% of the time.
Mental/Physical RequirementsThis 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 EmployerQualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
