Data Science, Intern - Summer 2026, Austin, TX

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.

When you join Visa, you join a culture of purpose and belonging - where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

JoinVisa's Value Added Services organizationas aData Science Internon theRisk & Security Services team. You'll work alongside experienced ML engineers, data scientists, and risk analysts to help buildMLpowered systems that detect fraud, verify identities, and reduce friction for legitimate users at global scale.

This internship is designed to provide handson exposure torealworld fraud detection, anomaly detection, and AIassisted risk investigation systems, with mentorship and structured learning throughout the program.

All Visa roles requiredigital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.

What You'll Do

As an intern, you will contribute to scoped, welldefined projects while learning industry best practices:

• Collaborate withproduct managers, risk analysts, and engineersto understand fraud and identity use cases and translate them into data and modeling tasks.
• Support the development ofAIassisted workflowsthat help triage risk alerts, enrich signals, or recommend next actions.
• Contribute toLLM or RAGbacked componentsthat summarize evidence or assist analysts in investigations, following clear guardrails and review processes.
• Writeclean, testable Python and SQL codefor batch or streaming data jobs under mentorship.
• Help monitormodel performance and data quality, and assist with dashboards, metrics, or experiments to evaluate impact.
• Learn and applyprivacy, security, and responsible AI practiceswhen working with sensitive financial data.
• Document designs, experiments, and findings; share progress in team meetings or demos.
• Participate incode reviews, sprint ceremonies, and team standups, with support from senior engineers.

What You'll Gain

• Handson experience buildingML systems used in realtime financial risk decisioning.
• Mentorship from senior ML engineers and data scientists.
• Exposure toproduction ML, model monitoring, and governancein a regulated environment.
• Experience working in alargescale, global engineering organization.
• A strong foundation for future roles inML engineering, applied data science, or risk analytics.

Basic Qualifications

• Students pursuing a Bachelor's degree in Computer Science, Computer Engineering, Data Science, CIS/MIS, Cybersecurity, Business or a related 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

• Proficiency inPythonand basicSQL.
• Strong understanding ofdata structures, algorithms, and software engineering fundamentals.
• Coursework or academic projects inmachine learning, statistics, or data analysis.
• Familiarity with at least one ML framework such asscikitlearn, PyTorch, or TensorFlow.
• Experience usingGitor another version control system.
• Academic or personal projects related tofraud detection, security analytics, identity systems, or risk modeling.
• Exposure totimeseries data, graph features, or streaming systems(e.g., Spark, Kafka) through coursework or projects.
• Familiarity with common anomaly detection or sequence models:
  • Isolation Forest, LOF, autoencoders
  • HMMs, RNNs, or Transformerbased models (introductory level)
• Basic understanding ofLLMs and RetrievalAugmented Generation (RAG)concepts.
• Curiosity aboutAI agents, toolusing workflows, or decision automation in realworld systems.

U.S. APPLICANTS ONLY:The estimated hourly range for a new hire into this position is $35-$40/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. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

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

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