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.
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. You'll 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.
Responsibilities include:
- Analyzing 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.
- Leveraging 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.
- Applying data science and decision science methods, including statistical analysis, machine learning, experimentation, forecasting, segmentation, optimization, performance measurement, and decision modeling.
- Developing and evaluating models and decision frameworks that help teams understand business opportunities, assess tradeoffs, and make responsible, data-informed decisions.
- Creating and enhancing dashboards and visualizations using platforms such as PowerBI, Tableau, and conversational BI tools to communicate trends, metrics, and performance.
- Translating analytical findings into actionable recommendations and communicating insights clearly to both technical and non-technical stakeholders.
- Collaborating with cross-functional teams across data science, product, technology, data & analytics, privacy, governance, and regional and global partners.
- Recommending improvements to analytical workflows, tools, and processes with a focus on scalability, reuse, automation, and long-term business value.
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.