Data Science Intern, Data and AI Team – Summer 2027
About The Position
Visa’s 12-week Internship Program offers hands-on work on impactful projects, professional development through workshops and learning sessions, cross-company connections, and intern social events. The program culminates in a presentation of project achievements, insights, and recommendations to Visa leaders and stakeholders. Visa’s Data & AI Team, led by the Chief Data Officer, advances enterprise data strategy, product development, investment priorities, governance, policy, and marketplace execution. The team partners with privacy, technology, business units, regional teams, and Visa’s broader data community to support trusted, responsible use of data. Data Science interns will develop insights, analytical frameworks, and models that inform business strategy, product development, operational performance, and client outcomes. Interns collaborate with partners across data science, product, technology, analytics, privacy, governance, and regional and global business teams. Work may include exploratory data analysis, feature development, statistical modeling, machine learning, experimentation, forecasting, performance measurement, and decision modeling. The internship provides hands-on experience in data science and decision science and supports responsible, data-driven innovation across Visa’s global business. The position is hybrid, with at least three days in the office; specific office days will be confirmed by the hiring manager. Work hours vary with department needs, and the position requires 5–10% travel. The role is performed in an office setting and requires sitting and standing at a desk, communicating in person and by telephone, and frequent use of standard office equipment. The estimated U.S. hourly rate is $46 to $55, which may include potential sales incentive payments if applicable. Visa will not sponsor work visas for this position, and future sponsorship will not be considered.
Requirements
- Pursuing a Bachelor’s or Master’s degree in Computer Science, Data Analytics, Data Science, Information Technology, Statistics, or a related STEM or quantitative field.
- Expected graduation between December 2027 and August 2028.
- Strong written and spoken communication skills, including clear, concise professional communication without repeated grammatical or typographical errors.
- Digital fluency, including the ability to work with emerging technologies such as generative AI tools.
Nice To Haves
- Experience understanding and analyzing data using statistical software such as Python, SAS, R, or Stata.
- Experience with visualization and reporting tools, such as advanced use of PowerPoint, Power BI, Tableau, or open-source tools.
- Intellectual curiosity and a desire to continually learn.
- Previous exposure to financial services, credit cards, or merchant analytics.
- Experience extracting and aggregating data from large datasets using SQL or other tools.
- Understanding of machine learning techniques.
- Competence in Excel, PowerPoint, and Tableau.
Responsibilities
- Analyze large-scale datasets using cloud-based analytics platforms and tools such as Claude Code, Python, SQL, and Spark.
- Use governed data assets and reusable pipelines to conduct exploratory analysis, develop features, evaluate trends, and generate insights.
- 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 to help teams assess opportunities and tradeoffs and make responsible, data-informed decisions.
- Create and enhance dashboards and visualizations using tools such as Power BI, Tableau, and conversational BI tools.
- Translate analytical findings into actionable recommendations and communicate insights to technical and non-technical stakeholders.
- Collaborate with cross-functional data science, product, technology, analytics, privacy, governance, and regional and global partners.
- Recommend improvements to analytical workflows, tools, and processes, emphasizing scalability, reuse, automation, and long-term business value.
- Present project achievements, insights, and recommendations to Visa leaders and stakeholders at the end of the internship.
Benefits
- Interactive workshops and learning sessions
- Intern social events
- Professional development and hands-on experience
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What This Job Offers
Career Level
Intern
