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Internship Urban Data Analytics Jobs (NOW HIRING)

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 ...

Urban Designer

Pasadena, CA · Hybrid

$90K - $125K/yr

Planning & Urban Design Work Environment: Hybrid Compensation: $90,000-$125,000 annually* Dudek ... Geospatial and Data Analysis * Utilize GIS and data visualization tools to analyze and illustrate ...

Urban Designer

Pasadena, CA · On-site

$90K - $125K/yr

Planning & Urban Design Work Environment: Hybrid Compensation: $90,000-$125,000 annually* Dudek ... Geospatial and Data Analysis * Utilize GIS and data visualization tools to analyze and illustrate ...

Urban Designer

Pasadena, CA · Hybrid

$90K - $125K/yr

Planning & Urban Design Work Environment: Hybrid Compensation: $90,000-$125,000 annually* Dudek ... Geospatial and Data Analysis * Utilize GIS and data visualization tools to analyze and illustrate ...

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Internship Urban Data Analytics information

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How much do internship urban data analytics jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for internship urban data analytics in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is an internship in urban data analytics?

An Internship in Urban Data Analytics is a temporary position that allows students or recent graduates to gain hands-on experience working with urban data, such as transportation, housing, or environmental information, to help cities make data-driven decisions. Interns typically assist with collecting, cleaning, and analyzing large datasets, using tools like GIS, Python, or R. This role helps interns develop analytical and technical skills, understand urban challenges, and contribute to projects that improve city planning and services.

What types of projects or datasets might I work with during an internship in urban data analytics?

As an intern in Urban Data Analytics, you'll typically work with datasets related to city infrastructure, transportation, environmental monitoring, public health, or housing. Projects may include analyzing traffic patterns to optimize public transit routes, evaluating air quality data, or mapping urban growth using GIS tools. You'll likely collaborate with urban planners, engineers, and data scientists to translate your findings into actionable insights that improve city life. This hands-on experience exposes you to real-world challenges and allows you to develop valuable technical and analytical skills.

What are the key skills and qualifications needed to thrive as an urban data analytics intern, and why are they important?

To thrive as an Urban Data Analytics Intern, you need a solid understanding of data analysis, statistics, and urban planning principles, often supported by coursework in data science, geography, or urban studies. Familiarity with tools such as Python, R, GIS software (like ArcGIS or QGIS), and data visualization platforms is typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings clearly are valuable soft skills in this role. These competencies are crucial for extracting meaningful insights from urban data and supporting evidence-based decision-making in city planning projects.

What cities are hiring for Internship Urban Data Analytics jobs?

Cities with the most Internship Urban Data Analytics job openings:

What are the most commonly searched types of Urban Data Analytics jobs?

The most popular types of Urban Data Analytics jobs are:

What states have the most Internship Urban Data Analytics jobs?

States with the most job openings for Internship Urban Data Analytics jobs include:

Infographic showing various Internship Urban Data Analytics job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Analytics Intern

Trinity Industries

Dallas, TX • On-site

Internship

Re-posted 5 days ago


Trinity Industries rating

6.5

Company rating: 6.5 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

413th of 496 rated machine equipment manufacturers


Job 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.

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.

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