Data Analytics Intern
- 📁
- Intern
- 📅
- 2600285 Requisition #
- 📅
- Apr 01, 2026 Post Date
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.
EOE
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.
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