Data Analytics Intern

Trinity Industry 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-dept knowledge of business problems and likely solutions.
• Demo results and deliver concise handoff docs, runbooks, and impact metrics.

Qualifications

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).
• Generate, test, and iterate code (examples: Python, JavaScript, YAML) using an IDE (VS Code, JetBrains, etc.) with AI-assisted coding (GitHub Copilot, OpenAI Codex,
• 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.