AI-Driven Data Analytics Intern: Build Deployable Agents

Trinity Industries; Dallas (TX); On-site; USD 52,000 - 68,000; Full time

Job summary

Trinity Industry in Dallas, TX is seeking a Data Analytics Intern to help design and deploy agentic AI solutions. You will work with Databricks, Palantir Foundry, and AI tools in a mentored environment, gaining hands-on experience with enterprise data and governance practices.

You will collaborate with data analysts, data scientists, and engineers to understand business problems and deliver deployable AI-driven workflows and applications.

Qualifications

• Candidate is pursuing a Master’s or PhD in a quantitative field.
• Experience building AI prototypes or agentic projects (coursework, research, personal projects).
• Familiarity with Claude Code, Cursor, or similar tooling helps.
• Familiarity with SQL and cloud data platforms (Databricks, Azure, AWS).
• Strong problem solving and ability to present technical work to nontechnical stakeholders.

Responsibilities

• Design, prototype, and deliver agentic systems for multi-step business tasks.
• Build automated workflows and connectors between internal systems and APIs.
• Implement LLM-based agents including prompting and memory management.
• Produce code and deployable artifacts using AI-assisted generation.
• Collaborate with data teams and stakeholders to understand business problems.
• Demo results and prepare handoff docs, runbooks, and metrics.

Skills

AI prototyping

SQL

Cloud platforms

Data analysis

Communication

Education

Master's or PhD candidate

Data Science

Machine Learning

Applied Math

Statistics

Tools

Databricks

Palantir Foundry

Claude Code

REST APIs

Job description

Trinity Industry in Dallas, TX is seeking a Data Analytics Intern to help design and deploy agentic AI solutions. You will work with Databricks, Palantir Foundry, and AI tools in a mentored environment, gaining hands-on experience with enterprise data and governance practices.

You will collaborate with data analysts, data scientists, and engineers to understand business problems and deliver deployable AI-driven workflows and applications.