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Data Science Fall Internship Jobs in Texas (NOW HIRING)

Senior Data Scientist

Irving, TX · On-site

$102K - $179K/yr

You will design, implement, and deploy advanced data science solutions across multiple projects and ... Geographic factors may adjust the range estimate and hires typically fall below the top range.

Develop data science solutions, automated analytics products, and actionable insights across ... Geographic factors may adjust the range estimate and hires typically fall below the top range.

New

Senior Data Scientist

Irving, TX · On-site

$102K - $179K/yr

Develop data science solutions, automated analytics products, and actionable insights across ... Geographic factors may adjust the range estimate and hires typically fall below the top range.

... data science. * Interns will work in a fast-paced telecom environment shaped by emerging technologies, Network APIs, competition, and industry transformation. Ericsson is a global telecoms leader ...

Data Scientist- Associate

Dallas, TX · On-site

$58K - $58K/yr

Required : • Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering • Minimum of a Bachelor's degree is required • ...

Master's degree in Computer Science, Data Science, foreign equivalent or related field. Required ... internship or related occupation involving: 1. Programming language in C++, Python, and SQL 2. ...

Data Scientist

Austin, TX · On-site

$128K/yr

Master's degree in Computer Science, Data Science, foreign equivalent or related field. Required ... internship or related occupation involving: 1. Programming language in C++, Python, and SQL 2. ...

Apply deep expertise across end-to-end data science workflows, including data discovery ... Geographic factors may adjust the range estimate and hires typically fall below the top range.

Apply deep expertise across end-to-end data science workflows, including data discovery ... Geographic factors may adjust the range estimate and hires typically fall below the top range.

You will design scalable data science products, translate sophisticated analytical findings into ... Geographic factors may adjust the range estimate and hires typically fall below the top range.

You will design scalable data science products, translate sophisticated analytical findings into ... Geographic factors may adjust the range estimate and hires typically fall below the top range.

Showing results 41-60

Data Science Fall Internship information

See Texas salary details

$9

$20

$38

How much do data science fall internship jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data science fall internship in Texas is $20.93, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $22.93 per hour, depending on experience, location, and employer.

What is a data science fall internship?

A Data Science Fall Internship is a temporary, structured work experience offered by organizations during the fall semester, designed for students or recent graduates interested in data science. Interns typically work on real-world projects involving data collection, analysis, machine learning, and visualization under the guidance of experienced data scientists. This internship provides hands-on experience, exposure to industry tools and techniques, and helps participants build valuable skills for future careers in data science. It also offers networking opportunities and a chance to explore potential career paths within the field.

What types of projects can I expect to work on during a data science fall internship?

As a Data Science Fall Intern, you can expect to work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using real-world datasets. Interns often collaborate with full-time data scientists and cross-functional teams to solve business problems, such as improving user engagement, optimizing processes, or generating actionable insights from large data sets. You may also participate in regular team meetings, present findings, and contribute to ongoing research or tool development. This hands-on experience helps you build both technical and communication skills within a dynamic and supportive environment.

What are the key skills and qualifications needed to thrive as a data science fall intern, and why are they important?

To thrive as a Data Science Fall Intern, you generally need a solid foundation in statistics, programming (often Python or R), and data analysis, typically supported by coursework or experience in computer science, mathematics, or related fields. Familiarity with tools like pandas, scikit-learn, SQL, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data insights and collaborate with team members. These competencies are essential for producing actionable analyses and contributing meaningfully to data-driven projects in a short-term, fast-paced internship environment.

What is the difference between Data Science Fall Internship vs Data Analyst Intern?

AspectData Science Fall InternshipData Analyst Intern
Required CredentialsEnrolled in or recent graduate of a related field (e.g., Data Science, Computer Science, Statistics)Enrolled in or recent graduate of a related field (e.g., Data Analysis, Business, Statistics)
Work EnvironmentTech companies, startups, research labs, often collaborative and project-basedBusiness firms, consulting agencies, often focused on reporting and data visualization
Employer & Industry UsageUsed by tech firms, finance, healthcare, and academia for entry-level talentCommon in corporate, marketing, and consulting sectors for supporting decision-making

The Data Science Fall Internship and Data Analyst Intern roles share similarities in required education and work environment but differ in focus. Data Science internships emphasize machine learning, programming, and statistical modeling, while Data Analyst internships focus more on data visualization, reporting, and business insights. Both are valuable entry points into data careers, often overlapping in skills but serving different industry needs.

What cities in Texas are hiring for Data Science Fall Internship jobs?

Cities in Texas with the most Data Science Fall Internship job openings:

Infographic showing various Data Science Fall Internship job openings in Texas as of August 2026, with employment types broken down into 18% Internship, 36% Full Time, 43% Part Time, and 3% Contract. Highlights an 91% In-person, 3% Hybrid, and 6% Remote job distribution, with an average salary of $43,527 per year, or $20.9 per hour.

Senior Data Scientist

Vizient, Inc.

Irving, TX • On-site

$102K - $179K/yr

Full-time

Posted 4 days ago


Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.
Summary:
In this role, you will develop automated analytics products and conduct sophisticated data analysis to address complex business and client questions. You will design, implement, and deploy advanced data science solutions across multiple projects and domains, translating analytical findings into actionable insights that improve clinical, operational, and economic outcomes. You will apply predictive analytics, machine learning, natural language processing, and generative AI approaches, provide technical guidance to other data scientists, and deliver high-quality, scalable analytic solutions aligned with organizational objectives.
Responsibilities:
  • Develop and implement advanced machine learning, generative AI, natural language processing, statistical modeling, and unsupervised learning approaches across structured and unstructured data.
  • Build and deploy scalable, automated data science products and reusable analytic assets across multiple projects and domains.
  • Analyze large-scale, high-dimensional datasets using modern programming tools and distributed computing platforms to identify trends and actionable insights.
  • Apply expertise across end-to-end data science workflows, including data discovery, structuring, cleaning, enrichment, feature engineering, modeling, validation, deployment, and insight delivery.
  • Make autonomous analytical and modeling decisions based on project goals, including approach selection, exploratory analysis, model development, and visualization.
  • Translate complex analytical findings into clear insights, dashboards, reports, and presentations for technical and non-technical audiences.
  • Develop and review technical code, apply data science and software development best practices, and provide guidance to other data scientists.
  • Partner with engineering and platform teams to deploy, monitor, and maintain machine learning, generative AI, and other advanced analytics solutions.
  • Apply responsible AI and model governance practices, including documentation, explainability, bias assessment, testing, and validation.
  • Evaluate emerging analytical and AI technologies and collaborate with cross-functional teams to integrate solutions into products, workflows, and business processes.

Qualifications:
  • Relevant degree preferred.
  • 5 or more years of relevant experience required.
  • Experience with agentic AI concepts and environments, including LLM-based workflows, tool orchestration, retrieval-augmented generation, autonomous workflows, or human-in-the-loop patterns.
  • Experience with statistical modeling, predictive analytics, machine learning, natural language processing, generative AI, and advanced data science methodologies.
  • Proficiency in programming and analytical tools such as Python, R, SQL, SAS, MATLAB, Java, or similar technologies.
  • Experience with end-to-end data science workflows, including data preparation, feature engineering, model development, validation, deployment, and visualization.
  • Experience working with large, complex datasets and integrating data from disparate sources.
  • Experience with cloud-based and distributed data platforms and analytics frameworks such as Databricks, Apache Spark, Hadoop, Tableau, or similar technologies.
  • Experience developing and deploying machine learning, generative AI, or advanced analytics solutions in production environments.
  • Knowledge of responsible AI, model governance, explainability, bias assessment, and validation practices.
  • Strong analytical, problem-solving, communication, and collaboration skills with the ability to convey complex concepts to technical and non-technical clients.

Estimated Hiring Range:
At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00.
This position is also incentive eligible.
Vizient has a comprehensive benefits plan! Please view our benefits here:
http://www.vizientinc.com/about-us/careers
Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities
The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.