Data Science Intern Jobs in Texas
Data Science Intern jobs in Texas are concentrated in Austin, Dallas, and Houston, where employers like Dell Technologies, AT&T, and ExxonMobil run active internship programs for students with skills in machine learning, statistical modeling, and data visualization. Texas anchors one of the most active internship markets in the country, with demand distributed across the tech corridor along I-35, the financial and telecom clusters in DFW, and the energy analytics sector along the Gulf Coast. Openings range from first-year undergraduates building portfolio projects to graduate students running production pipelines. Find a role that fits below and apply directly.
Find Data Science Intern JobsOverview
Showing 5 of 6+ Data Science Intern jobs
Why GM Financial?
GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America, and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses.
At GM Financial, our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.
Our Purpose : We pioneer the innovations that move and connect people to what matters.
About this role:
The Data Science Intern supports data-driven decision making by conducting research, analyzing complex datasets, and developing statistical and machine learning models to identify trends, improve operations, and solve business challenges. This role assists with forecasting, optimization, and data mining initiatives while gaining hands-on experience with advanced analytics techniques and tools.
The intern also prepares reports and presentations, evaluates key business metrics, and communicates insights and recommendations to stakeholders. This position provides valuable exposure to data science methodologies, predictive modeling, and the practical application of analytics to business strategy and decision-making.
In this role you will:
- Modeling with expertise in forecasting, optimization, data mining, analysis, and analyzing complex datasets
- Conducting studies with the use of descriptive and supervised machine learning methods and advanced statistical methods using innovative and the latest advanced technique and algorithms
- Summarizing, reporting, and providing polished presentations to business leaders
- Performs research, analysis, and modeling on organizational data
- Assists in analyzing key metrics and performing data analysis
- Builds technical knowledge to support research and analytic responsibilities including advanced techniques and algorithms
- Conducts research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations, and effectively communicating to leadership the impact to the business
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions
- Ensures that the delivered products meet the business needs of the company
- Partners with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership
What makes You an ideal candidate?
- Strong written and verbal communication skills required. This incumbent will be required to give presentations and communicate with business leaders.
- Strong analytical, quantitative, problem solving, and conceptual skills required.
- Must be detail oriented and able to prioritize tasks to meet deadlines. Must be able to work independently or in a team setting.
Additional Knowledge and Skills
Working effectively within an AI enabled environment:
- Ability to use AI tools (e.g., Microsoft Copilot) to support daily work
- Skills in evaluating AI outputs for accuracy, compliance, and bias
- Experience integrating AI into workflows to improve efficiency or insights
- Familiarity with AI assisted research, summarization, and content generation Understanding of responsible AI use, including ethics and data protection
Work Experience and Education
- Must be a current student pursuing a bachelor's degree or higher from an accredited college or university in Computer Science, Data Science, Data Analytics, Information Systems, Statistics with at least one semester remaining upon start of the internship.
- Must possess a minimum of a 3.0 (out of a 4-point scale) overall GPA.
- Previous internships are considered a plus. Junior, Senior, or Masters classification preferred
Our program offers
- 11 weeks of work experience (May 26- August 6, 2027)
- Executive and peer networking opportunities
- Independent and team project experiences
- Philanthropic activities
- Career development Opportunity to apply for full-time career positions
Our Culture: Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.
Work Life Balance : Flexible hybrid work environment, 2-days a week in office.
GM FINANCIAL DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM FINANCIAL AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#GMFJobs #LI-Hybrid #LI-KK1
Why GM Financial?
GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America, and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses.
At GM Financial, our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.
Our Purpose : We pioneer the innovations that move and connect people to what matters.
About this role:
The Data Science Intern supports data-driven decision making by conducting research, analyzing complex datasets, and developing statistical and machine learning models to identify trends, improve operations, and solve business challenges. This role assists with forecasting, optimization, and data mining initiatives while gaining hands-on experience with advanced analytics techniques and tools.
The intern also prepares reports and presentations, evaluates key business metrics, and communicates insights and recommendations to stakeholders. This position provides valuable exposure to data science methodologies, predictive modeling, and the practical application of analytics to business strategy and decision-making.
In this role you will:
- Modeling with expertise in forecasting, optimization, data mining, analysis, and analyzing complex datasets
- Conducting studies with the use of descriptive and supervised machine learning methods and advanced statistical methods using innovative and the latest advanced technique and algorithms
- Summarizing, reporting, and providing polished presentations to business leaders
- Performs research, analysis, and modeling on organizational data
- Assists in analyzing key metrics and performing data analysis
- Builds technical knowledge to support research and analytic responsibilities including advanced techniques and algorithms
- Conducts research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations, and effectively communicating to leadership the impact to the business
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions
- Ensures that the delivered products meet the business needs of the company
- Partners with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership
What makes You an ideal candidate?
- Strong written and verbal communication skills required. This incumbent will be required to give presentations and communicate with business leaders.
- Strong analytical, quantitative, problem solving, and conceptual skills required.
- Must be detail oriented and able to prioritize tasks to meet deadlines. Must be able to work independently or in a team setting.
Additional Knowledge and Skills
Working effectively within an AI enabled environment:
- Ability to use AI tools (e.g., Microsoft Copilot) to support daily work
- Skills in evaluating AI outputs for accuracy, compliance, and bias
- Experience integrating AI into workflows to improve efficiency or insights
- Familiarity with AI assisted research, summarization, and content generation Understanding of responsible AI use, including ethics and data protection
Work Experience and Education
- Must be a current student pursuing a bachelor's degree or higher from an accredited college or university in Computer Science, Data Science, Data Analytics, Information Systems, Statistics with at least one semester remaining upon start of the internship.
- Must possess a minimum of a 3.0 (out of a 4-point scale) overall GPA.
- Previous internships are considered a plus. Junior, Senior, or Masters classification preferred
Our program offers
- 11 weeks of work experience (May 26- August 6, 2027)
- Executive and peer networking opportunities
- Independent and team project experiences
- Philanthropic activities
- Career development Opportunity to apply for full-time career positions
Our Culture: Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.
Work Life Balance : Flexible hybrid work environment, 2-days a week in office.
GM FINANCIAL DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM FINANCIAL AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#GMFJobs #LI-Hybrid #LI-KK1
See All 6 Data Science Intern Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Data Science Intern JobsData Science Intern Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Data Science Intern Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
What Texas Employers Look For
The qualifications that appear most often in data science intern jobs across Texas.
- Currently enrolled in a bachelor's or master's degree program in data science, statistics, or computer science
- Proficiency in Python or R for data analysis and statistical modeling
- Experience with SQL and working knowledge of relational databases
- Familiarity with machine learning frameworks such as scikit-learn or TensorFlow
- Ability to communicate findings clearly through data visualization tools like Tableau or Power BI
- Completed at least one relevant coursework sequence in probability, linear algebra, or applied statistics
Data Science Intern Jobs in Texas: Frequently Asked Questions
How do you become a data science intern in Texas?
The most direct path is enrolling in a data science, statistics, or computer science program at a Texas university and applying to internship programs during your sophomore or junior year. Texas has no state-issued license for data science roles, so hiring decisions center on coursework, technical skills, and project portfolios. Schools like UT Austin, Texas A&M, and Rice have strong employer pipelines and career fairs that connect students directly with Texas-based companies.
Which companies hire data science interns in Texas?
Companies currently hiring data science interns in Texas include PepsiCo, NCR Atleos, and GM Financial, per current listings on Migrate Mate as of September 2026. Texas's mix of energy, technology, and financial services employers means internship work often touches industry-specific data problems, from energy forecasting to fraud detection and customer analytics.
Which Texas cities have the most data science intern jobs?
Austin, Plano, and Frisco have the most data science intern openings in Texas. Austin's dense technology and startup ecosystem anchors the largest share, Dallas-Fort Worth draws interns through its financial services, telecom, and healthcare headquarters, and Houston's energy sector and medical center create consistent demand for interns with analytical and modeling skills.
Are there remote data science intern jobs in Texas?
Yes, and more than most fields. About 100% of data science intern openings tied to Texas are remote or hybrid as of September 2026, reflecting the desk-based and analytical nature of the work. The tasks most commonly done remotely include exploratory data analysis, model training, and dashboard development, while on-site components tend to involve team presentations or access to proprietary data systems.
How can I get hired as a data science intern in Texas with little or no experience?
The most realistic entry path is applying through university recruiting programs at large Texas employers like ExxonMobil, USAA, and Texas Instruments, which run structured internship cohorts designed for students with limited professional experience. Building a portfolio of independent projects on publicly available datasets and contributing to open-source repositories can substitute for prior work history. Adjacent roles like data analyst assistant, research assistant, or BI reporting intern at Texas companies are also a practical starting point, as these positions often convert into data science tracks.
Where can I find and apply to data science intern jobs in Texas?
You can find and apply to data science intern jobs in Texas on Migrate Mate, which lists current Texas openings across Austin, Dallas, Houston, and other markets. Find the roles that fit your background and apply directly through each listing.
See All 6 Data Science Intern Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Data Science Intern Jobs