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Ashburn, VA

Internship

Hybrid

$35/hr - $40/hr

Intern

Visa is a world leader in payments and technology, committed to connecting the world through secure payment solutions. As an intern in the Cyber Threat Analytics and Research team, you will work on impactful projects involving machine learning models and data analysis to enhance Visa's cybersecurity capabilities.

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Responsibilities

Analyze cyber event logs using Spark and big data technologies and develop deeper insights into products using advanced statistical methods
Devise and implement deep learning models for building user behavior profiles. This includes data acquisition, feature engineering, model development, and deployment.
Leverage GenAI to build chatbot integrated with RAG, MCP servers, context engineering and momery management for improving Cyber investigation efficiency
As a member of the CTAR team, you will work closely with other data scientists and data engineers to build, design, engineer, and develop analytical software and services that deliver security functionality and improve security efficiency and capabilities through automation.
Assist in shaping overall direction, life-cycle management, and leadership for Information Security architecture and technology related to Visa.
Communicate clean and persuasive data directly to end users, leadership, and other stakeholders, technical and non-technical.

Qualification

Required

Students pursuing a Bachelor’s degree in Computer Science, Computer Engineering, CIS/MIS, Cybersecurity, Business or a related field, with a graduation date in 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

Proficiency in at least one programming language or technology including, but not limited, to Java, C/C++, C#, .NET, Python, Javascript, HTML, SQL
Experience with Write utilities / automation tools using Selenium, Java, REST, Python, Groovy, and more
Experience in developing Agentic Solution
Machine learning, deep learning, AI models, and data science background is great
Experience with Gen AI/LLM
Experience with large datasets using tools and Hadoop, Spark, or Hive
Familiarity with software testing principles
Solid understanding of software engineering concepts and methodologies
Experience or knowledge in working with both RDBMS (preferably MySQL) and NoSQL databases (preferably Cassandra)
Knowledge of Git for version control
Strong ability to collaborate
Highly driven, resourceful and results oriented
Good team player and excellent interpersonal skills
Good analytical and problem-solving skills
Demonstrated ability to lead and navigate through ambiguity