Data Analytics Intern

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

Job Description - Data Analytics Intern (2600285)

Job Description

Data Analytics Intern - ( 2600285 )

Description

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).
• 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.