Data Science, Intern Summer 2026, Austin, TX

Join Visas Value Added Services organization as a Data Science Intern on the Risk & Security Services team. Youll work alongside experienced ML engineers data scientists and risk analysts to help build MLpowered systems that detect fraud verify identities and reduce friction for legitimate users at global scale.

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

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.

What Youll Do

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

• Collaborate with product managers risk analysts and engineers to understand fraud and identity use cases and translate them into data and modeling tasks.
• Support the development of AIassisted workflows that help triage risk alerts enrich signals or recommend next actions.
• Contribute to LLM or RAGbacked components that summarize evidence or assist analysts in investigations following clear guardrails and review processes.
• Write clean testable Python and SQL code for batch or streaming data jobs under mentorship.
• Help monitor model performance and data quality and assist with dashboards metrics or experiments to evaluate impact.
• Learn and apply privacy security and responsible AI practices when working with sensitive financial data.
• Document designs experiments and findings; share progress in team meetings or demos.
• Participate in code reviews sprint ceremonies and team standups with support from senior engineers.

What Youll Gain

• Handson experience building ML systems used in realtime financial risk decisioning.
• Mentorship from senior ML engineers and data scientists.
• Exposure to production ML model monitoring and governance in a regulated environment.
• Experience working in a largescale global engineering organization.
• A strong foundation for future roles in ML engineering applied data science or risk analytics.

Qualifications :

Basic Qualifications

• Students pursuing a Bachelors 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 in Python and basic SQL.
• Strong understanding of data structures algorithms and software engineering fundamentals.
• Coursework or academic projects in machine learning statistics or data analysis.
• Familiarity with at least one ML framework such as scikitlearn PyTorch or TensorFlow.
• Experience using Git or another version control system.
• Academic or personal projects related to fraud detection security analytics identity systems or risk modeling.
• Exposure to timeseries 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 of LLMs and RetrievalAugmented Generation (RAG) concepts.
• Curiosity about AI agents toolusing workflows or decision automation in realworld systems.

Additional Information :

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 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

Remote Work :

No

Employment Type :

Intern