Data Analytics Intern

Data Analytics Intern Trinity Industries is looking for Data Analytics Interns for our office in Dallas, TX. This position will focus on building, deploying, and scaling agentic AI applications and automated workflows across the enterprise. You will contribute to producing AI-first solutions using large language models, agent frameworks, and AI-assisted coding to deliver deployable apps, agents, automated workflows, and AI orchestration. This role will provide valuable experience working with state-of-the-art enterprise platforms (Databricks and Palantir Foundry) and AI tools (pro licenses for Codex and Claude Code). The role offers hands‑on mentorship from senior analytics professionals, exposure to production data and governance practices, and high visibility to business owners giving you real ownership of high‑impact projects. What You'll Do Design, prototype, and deliver agentic systems that plan and execute multi‑step business tasks. Build automated workflows and connectors that integrate internal systems and APIs. Implement LLM‑based agents (prompting, tool‑calling, memory, monitoring) and harden prototypes for handoff. Produce code and deployable artifacts using AI‑assisted generation. Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain in‑depth knowledge of business problems and likely solutions. Demo results and deliver concise handoff docs, runbooks, and impact metrics. What You'll Have Master’s or PhD candidate or recent graduate in Data Science, Machine Learning, Computer Science, Applied Math, Statistics, Operations Research, or similar quantitative field. Demonstrable experience building AI prototypes or agentic projects (coursework, research, personal projects, or employment). Experience with Claude Code, Cursor, or similar. Manual coding fluency is helpful but not mandatory. Familiarity with SQL and cloud data platforms (Databricks, Azure, AWS, or equivalent). Strong problem‑solving and communication skills; ability to present technical work to nontechnical stakeholders. Preferred / Nice‑to‑Have Practical experience with model deployment and monitoring basics (packaging/deploying prototypes, logging/observability, basic cost and drift checks). Experience building or working with data/workflow pipelines or orchestration tools or familiarity with the concepts of scheduling and task orchestration. Experience working with unstructured text and retrieval approaches (RAG or index + LLM patterns) for document/question answering. Comfortable integrating services via REST APIs and using secure authentication patterns. EEO Trinity Industries, Inc., and its subsidiary or affiliated companies (hereinafter “Trinity”) are committed to equal employment opportunity. It is our policy to consider candidates for employment without regard to race, color, sex, sexual orientation, gender identity, religion, age, national origin, disability, or veteran status. Trinity participates in E‑Verify and will provide the federal government with your Form I‑9 information to confirm that you are authorized to work in the U.S. Trinity is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e‑mail to View email address on click.appcast.io. This email address should only be used for accommodations and not general inquiries or resume submittals. #J-18808-Ljbffr Trinity Structural Towers