Data Science Intern, Data and AI Team – Summer 2027
About The Position
Visa’s Internship Program is a 12-week summer experience featuring impactful projects, cross-company connections, hands-on work, interactive workshops and learning sessions, intern social events, and a final presentation of project achievements and recommendations to Visa leaders and stakeholders. The Data & AI Team, led by the Chief Data Officer, advances enterprise data strategy, product development, investment priorities, governance, policy, and marketplace execution. Working with cross-functional partners, the team supports responsible data use and data-driven innovation across Visa. Data Science interns help develop insights, analytical frameworks, and models that inform business strategy, product development, operational performance, and client outcomes. Work may include exploratory data analysis, feature development, statistical modeling, machine learning, experimentation, forecasting, performance measurement, and decision modeling. Interns translate data into actionable insights, evaluate opportunities and tradeoffs, and support model-informed decisions that improve products, platforms, customer experiences, and business outcomes. The role involves collaboration with data science, product, technology, data and analytics, privacy, governance, and regional and global business teams. Visa roles require digital fluency, including the ability to use emerging technologies such as generative AI tools to support everyday work. The position requires at least three days in the office; the specific schedule will be confirmed by the Hiring Manager. Work hours vary according to department needs, and travel is 5–10% of the time. The work is performed in an office setting and requires sitting and standing at a desk, communicating in person and by telephone, and frequently operating standard office equipment such as telephones and computers.
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, with expected graduation between December 2027 and August 2028.
- Strong communication skills, including clear and concise written and spoken communication demonstrating professional judgment, and no repeated grammatical or typographical errors.
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, open-source tools, or similar.
- Intellectual curiosity and a commitment to continual learning.
- Previous exposure to financial services, credit cards, or merchant analytics; this is a plus but not required.
- 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 modern cloud-based data and 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 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 to help teams understand opportunities, assess tradeoffs, and make responsible, data-informed decisions.
- Create and enhance dashboards and visualizations using Power BI, Tableau, and conversational BI tools.
- Translate analytical findings into actionable recommendations and communicate insights to technical and non-technical stakeholders.
- Collaborate with data science, product, technology, data and analytics, privacy, governance, and regional and global partners.
- Recommend improvements to analytical workflows, tools, and processes, focusing on scalability, reuse, automation, and long-term business value.
Benefits
- Access to interactive workshops and learning sessions.
- Intern social events.
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What This Job Offers
Career Level
Intern
