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Entry Level Data Science Intern Jobs in Texas (NOW HIRING)

Trinity Industries

Data Analytics Intern

Dallas, TX · On-site

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 ...

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

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 ...

Munich Re

Intern - Business Data Analytics

Dallas, TX · On-site

Why intern at HSB? At Hartford Steam Boiler (HSB), a Munich Re company, you will learn what it is ... Computer Science (analytics or data-focused track) (Graduate-level coursework preferred due to ...

Baylor College of Medicine

Intern/Aide

Houston, TX

$14.25 - $19/hr

This position is designed to support students pursuing advanced education in biomedical sciences ... Performs entry level administrative or laboratory duties. * May observe tasks related to field of ...

Munich Re

Intern - Business Data Analytics

Austin, TX · On-site

Why intern at HSB? At Hartford Steam Boiler (HSB), a Munich Re company, you will learn what it is ... Computer Science (analytics or data-focused track) (Graduate-level coursework preferred due to ...

Loopback LLC

RWD Data Analyst Intern

Dallas, TX · On-site +1

Role Summary Loopback Health is hiring an innovative and team-oriented RWD Data Analyst intern who ... Bachelor's degree (completed or working towards) in a quantitative or life sciences field (e.g ...

SWBC

AI Intern

San Antonio, TX · On-site

$13.50 - $18/hr

We're seeking an AI Intern to support the design, development, and operationalization of Generative ... Currently pursuing a degree in Computer Science, Engineering, Data Science, or a related field ...

Baylor College of Medicine

Intern/Aide

Houston, TX · On-site

$10 - $14/hr

... sciences, public health, or medicine as a long term career goal. Primary duties will include data ... Performs entry level administrative or laboratory duties. * May observe tasks related to field of ...

Alfa Laval

Channel Development Intern

Houston, TX · On-site

$20 - $25/hr

About the job We are seeking a motivated and innovative intern to join our team as a Channel ... Currently pursuing an undergraduate or graduate degree in Computer Science, Data Science, Marketing ...

SynergisticIT

entry level java developer

Austin, TX

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. We welcome candidates with all visas and citizens to apply. Who ...

SynergisticIT

Entry Level Java Developer

Austin, TX

Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists. We welcome candidates with all visas and citizens to apply. Who ...

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Entry Level Data Science Intern information

What types of projects can an Entry Level Data Science Intern expect to work on, and how are tasks typically assigned?

As an Entry Level Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, and assisting with building predictive models under the guidance of senior data scientists. Tasks are typically assigned based on your skill level and learning objectives, often starting with foundational work like preparing datasets or automating routine analyses. You'll regularly collaborate with other interns, data analysts, and engineers, participating in team meetings and code reviews to ensure alignment and progress. This collaborative environment helps you build your technical skills while gaining exposure to real-world business problems.

What does an Entry Level Data Science Intern do?

An Entry Level Data Science Intern assists data science teams by collecting, cleaning, and analyzing data under supervision. Typical tasks include working with spreadsheets, running basic statistical analyses, and helping prepare reports or visualizations. Interns may also support ongoing projects by writing simple code, documenting findings, and learning to use industry-standard tools like Python, SQL, or R. This position is designed to help individuals gain practical experience and develop foundational data science skills.

Can I get a data science internship with no experience?

Entry level data science internships often accept candidates with limited or no professional experience if they demonstrate relevant skills such as programming in Python or R, understanding of statistics, and familiarity with data analysis tools. Building a portfolio through personal projects, online courses, or certifications can improve chances of securing an internship without prior work experience.

Is $20 an hour good for an internship?

For an entry-level data science internship, $20 an hour is generally considered competitive, especially for positions that require basic programming skills in Python or R and familiarity with data analysis tools. Internships often pay between minimum wage and $25 an hour, depending on location, company size, and required skills.

What are the key skills and qualifications needed to thrive as an Entry Level Data Science Intern, and why are they important?

To thrive as an Entry Level Data Science Intern, you need a solid foundation in statistics, programming (often Python or R), and data analysis, typically supported by coursework or relevant projects. Familiarity with tools like Jupyter Notebook, SQL, and data visualization libraries (e.g., Matplotlib, Seaborn) is commonly expected. Strong problem-solving skills, curiosity, and clear communication help you collaborate and convey insights effectively. These skills enable interns to contribute meaningfully to team projects, learn quickly, and translate data into actionable results.

Is 30 too late for data science?

Entry level data science internships are open to candidates of various ages, including those in their 30s. Success depends on relevant skills such as programming, statistics, and data analysis, which can be developed through online courses and projects regardless of age.

Is it possible to get a data science job with no experience?

Entry level data science internships often do not require prior professional experience but typically expect candidates to have foundational skills in programming, statistics, and data analysis. Building a portfolio with projects, gaining proficiency in tools like Python or R, and obtaining relevant certifications can improve chances of securing such roles without formal work experience.
What are the most commonly searched types of Data Science Intern jobs in Texas? The most popular types of Data Science Intern jobs in Texas are:
What are popular job titles related to Entry Level Data Science Intern jobs in Texas? For Entry Level Data Science Intern jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science Intern jobs in Texas look for? The top searched job categories for Entry Level Data Science Intern jobs in Texas are:
What cities in Texas are hiring for Entry Level Data Science Intern jobs? Cities in Texas with the most Entry Level Data Science Intern job openings:
Entry Level Data Science Intern jobs near you
Infographic showing various Entry Level Data Science Intern job openings in Texas as of June 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.
Data Analytics Intern

Data Analytics Intern

Trinity Industries

Dallas, TX • On-site

Internship

Posted 12 days ago

Trinity Industries rating

6.5

Company rating: 6.5 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

345th of 417 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.

What Trinity Industries employees say

Pay

Benefits

Hours and flexibility

Workplace

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