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Graduate Data Science Intern Jobs in Dallas, TX (NOW HIRING)

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Science, Artificial Intelligence, Data Science, or similar). * Must have at least 6 months ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Science, Artificial Intelligence, Data Science, or similar). * Must have at least 6 months ...

Reli Group Inc

Power BI Intern

Mckinney, TX · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Reli Group Inc

Power BI Intern

Dallas, TX · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

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All JobsGraduate Data Science Intern JobsGraduate Data Science Intern Jobs in Dallas, TX

Graduate Data Science Intern information

See Dallas, TX salary details

$11

$22

$41

How much do graduate data science intern jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for graduate data science intern in Dallas, TX is $22.26, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $24.23 per hour, depending on experience, location, and employer.

What does a graduate data science intern do?

A Graduate Data Science Intern assists data science teams by analyzing large datasets, developing predictive models, and supporting data-driven decision-making. They often work with programming languages like Python or R, and use tools such as SQL, Excel, and machine learning libraries. Interns contribute to real-world projects, gain hands-on experience in data analysis, and help communicate findings to stakeholders. This role serves as a bridge between academic learning and practical application in the workplace.

What types of projects do graduate data science interns typically work on, and how do these projects support their professional development?

Graduate Data Science Interns often work on real-world data analysis projects such as building predictive models, cleaning and visualizing data, or assisting with machine learning algorithm implementation. These projects are usually part of larger team initiatives and provide interns with hands-on experience using industry-standard tools and methodologies. Collaborating closely with data scientists, engineers, and business stakeholders, interns gain exposure to the end-to-end data science workflow and receive mentorship to support their growth. This experience not only enhances their technical skills but also helps them develop problem-solving and communication abilities crucial for future career advancement.

What are the key skills and qualifications needed to thrive as a graduate data science intern?

To thrive as a Graduate Data Science Intern, you need foundational knowledge in statistics, machine learning, and data analysis, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with data visualization tools, and understanding of databases are often required. Strong problem-solving abilities, curiosity, and effective communication help interns collaborate and present insights clearly. These skills enable interns to extract actionable information from data and contribute value to team projects.

What is the difference between Graduate Data Science Intern vs Data Analyst Intern?

AspectGraduate Data Science InternData Analyst Intern
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Statistics, or related fieldOften pursuing or recently completed a degree in Data Analysis, Business, or related field
Work EnvironmentResearch-focused, data modeling, machine learning projects, collaborative teamsData collection, cleaning, reporting, visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, consulting, finance

The Graduate Data Science Intern role typically involves working on machine learning models and advanced analytics, requiring a background in data science or related fields. In contrast, Data Analyst Interns focus more on data cleaning, visualization, and reporting. Both roles are entry-level, often in similar industries, but differ in technical depth and project scope.

What are popular job titles related to Graduate Data Science Intern jobs in Dallas, TX? For Graduate Data Science Intern jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Graduate Data Science Intern jobs in Dallas, TX look for? The top searched job categories for Graduate Data Science Intern jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Graduate Data Science Intern jobs? Cities near Dallas, TX with the most Graduate Data Science Intern job openings:
Graduate Data Science Intern jobs near you
Infographic showing various Graduate Data Science Intern job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $46,305 per year, or $22.3 per hour.

Associate or Full Professor - Clinical Informatics, Learning Health Systems, and Health Data Science

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Posted 4 days ago

UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

108th of 887 rated healthcare providers

Job description

Description
The Peter O'Donnell Jr. School of Public Health (OSPH) at UT Southwestern Medical Center invites applications and nominations for tenure-accruing/tenure-track faculty positions at the Associate Professor or Professor level for investigators with expertise in clinical informatics, learning health systems, health data science, clinical decision support, implementation science, real-world evidence generation, AI-enabled healthcare innovation, or related disciplines.
This is an exceptional opportunity to build and lead a nationally visible research program at the intersection of clinical care, data science, digital innovation, and health system transformation. Successful candidates will have the opportunity to develop, implement, and evaluate informatics interventions in partnership with one of the nation's leading academic health systems and its affiliated care delivery organizations.
The successful candidate will hold a primary appointment in the Department of Health Data Science and Biostatistics within the O'Donnell School of Public Health and will play a leadership role within the Clinical Informatics Center (CIC), a newly established enterprise-wide center focused on advancing learning health systems, clinical decision support, AI implementation, digital health innovation, and data-driven care improvement.
The position offers a unique environment in which research, operations, and education are intentionally aligned. Faculty benefit from direct access to operational informatics teams, enterprise data resources, Epic-based clinical decision support infrastructure, CTSA-supported research programs, and partnerships spanning UT Southwestern, Parkland Health, Children's Health, Texas Health Resources, and the North Texas VA. These partnerships provide unparalleled opportunities to generate evidence from real-world healthcare delivery and rapidly translate discoveries into practice.
Candidates may pursue a broad range of scholarly interests, including but not limited to:
  • Learning Health Systems
  • Clinical decision support and workflow-integrated interventions
  • AI and machine learning in healthcare
  • Knowledge representation, biomedical ontologies, and computable biomedical knowledge
  • Pharmacovigilance, medication safety, and real-world evidence
  • Health data standards, interoperability, and FHIR-enabled innovation
  • Predictive analytics and clinical risk modeling
  • Digital health and healthcare transformation
  • Evaluation of health system interventions and implementation strategies

The successful candidate will be expected to:
  • Develop and sustain a nationally recognized, externally funded research program
  • Provide scientific leadership for learning health system and clinical informatics initiatives
  • Collaborate with operational leaders to evaluate and improve digital interventions deployed in clinical practice
  • Foster interdisciplinary collaborations across public health, medicine, nursing, pharmacy, and health system operations
  • Mentor graduate students, fellows, and junior faculty
  • Contribute to the continued growth of educational programs in health informatics, health data science, and learning health systems
  • Participate in strategic initiatives that strengthen UT Southwestern's national leadership in clinical informatics and health system innovation

This position is particularly well suited for investigators who are motivated by the opportunity to conduct rigorous, high-impact research embedded within healthcare delivery systems and who seek to build programs that bridge discovery, implementation, and measurable improvements in patient care.
Qualifications
  • PhD, ScD, DrPH, or equivalent research doctoral degree in health informatics or health data science
  • Demonstrated ability to conduct scholarly research and capacity to obtain peer-reviewed funding
  • Ability to mentor pre- and post-doctoral students and capacity for teaching excellence at the graduate level
  • Ability to collaborate closely and effectively with other members of multidisciplinary research teams
  • Desire to partner with healthcare systems, public health agencies, and/or community organizations

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