Top Internships in Tucson, AZ

As a Data Science Intern, you'll learn to translate business challenges into statistical problems, analyze large datasets, build machine learning models, and communicate insights effectively.

Manage transformation and deployment of cybersecurity applications into Kubernetes-based environments. Coordinate between Application Development and Platform teams to remove blockers, track timelines, align product and delivery roadmaps, and communicate technical progress. Serve as Mission Manager for assigned delivery efforts, foster team mentorship and growth, and support adoption of engineering best practices to deliver scalable mission value.

As a Growth Team SkillBridge Intern, you'll assist with market research, lead generation, proposal management, client engagement, and support sales efforts.

Work with the data team to design, build, and maintain scalable ETL pipelines and data models using Microsoft Fabric, dbt, PySpark, and SQL. Integrate and validate data across layers, optimize performance in Azure, follow GitHub CI/CD workflows, and document data governance while collaborating with cross-functional stakeholders.

12-16 week internship implementing and optimizing GPU/accelerator kernels and custom operators, profiling and improving LLM inference and runtime performance, building benchmarks, fixing regressions, and shipping code to production or open-source AI infra projects.

Support the Field Team Network with administrative tasks: email communications, partner outreach, meeting notes, document organization, process review and improvement, time studies and quality review of calls, plus project work aligned with intern skills and growth.

This internship under the SkillBridge Program involves supporting threat intelligence, technical analysis, and intelligence editing, focusing on cybersecurity and associated risks.

10-week internship building rapid prototypes that use LLMs and OCR to auto-populate report drafts. Work with real templates and data, pair-program, run user interviews with report authors, present prototypes and recommendations to stakeholders.

Build and enhance full-stack web applications and APIs using React/TypeScript and Python. Work with PostgreSQL, DynamoDB, AWS, event-driven architectures, CI/CD, and AI-assisted development tools to prototype and improve AI-native engineering workflows.