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Graduate Data Science Intern Jobs (NOW HIRING)

Data Science Intern

Camden, NJ · On-site

$15.25 - $20.25/hr

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod ...

Data Science Intern

Camden, NJ · On-site

$15.25 - $20.25/hr

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod ...

Data Science Intern

Camden, NJ · On-site

$15.25 - $20.25/hr

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod ...

Data Science Intern

Camden, NJ · On-site

$15.25 - $20.25/hr

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod ...

Job Title: Computer Science Intern Location: Knoxville, TN | Full-Time, Summer 2026 Company ... Contribute to UI improvements for usability and reproducibility in scientific data workflows.

Practical experience with geoscience coding, data science, and/or machine learning. Why Intern at ... graduate position, Chevron offers competitive pay and benefits to eligible employees, including ...

Job Title: Computer Science Intern Location: Knoxville, TN | Full-Time, Summer 2026 Company ... Contribute to UI improvements for usability and reproducibility in scientific data workflows.

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Graduate Data Science Intern information

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

As of Aug 22, 2026, the average hourly pay for graduate data science intern 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 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 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 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 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.

Is a graduate data science internship worth it?

A graduate data science internship provides practical experience with tools like Python and SQL, enhances skills in data analysis and machine learning, and can improve job prospects after graduation. It offers exposure to real-world projects and professional environments, which are valuable for career development.
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What cities are hiring for Graduate Data Science Intern jobs?

Cities with the most Graduate Data Science Intern job openings:

What states have the most Graduate Data Science Intern jobs?

States with the most job openings for Graduate Data Science Intern jobs include:

Infographic showing various Graduate Data Science Intern job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Science Program Teaching Associate Professor - 12 MONTH

University of Arkansas

Fayetteville, AR • On-site

Full-time

Medical, Dental, Life, Retirement

Posted 8 days ago


University Of Arkansas rating

6.6

Company rating: 6.6 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

500th of 620 rated colleges and universities


Job description

Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com, then access Find Jobs from the Workday search bar to view and apply for open positions.
Students at all University of Arkansas institutions will view open positions and apply within Workday by searching for "Find Jobs for Students."
University of Arkansas, Fayetteville students will view open positions and apply within Workday by searching for "Find Student Jobs at UAF."
All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated).
If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.
Closing Date:
09/14/2026
Type of Position:
Faculty - Non-Tenure
Workstudy Position:
No
Job Type:
Annual Appointment (Fixed Term)
Work Shift:
Sponsorship Available:
No
Institution Name:
University of Arkansas, Fayetteville
Founded in 1871, the University of Arkansas is a land grant institution, classified by the Carnegie Foundation among the nation's top 2 percent of universities with the highest level of research activity. The University of Arkansas works to advance the state and build a better world through education, research, and outreach by providing transformational opportunities and skills, fostering a welcoming climate, and nurturing creativity, discovery, and the spread of new ideas and innovations.
The University of Arkansas campus is located in Fayetteville, a welcoming community ranked as one of the best places to live in the U.S. The growing region surrounding Fayetteville is home to numerous Fortune 500 companies and one of the nation's strongest economies. Northwest Arkansas is also quickly gaining a national reputation for its focus on the arts and overall quality of life.
As an employer, the University of Arkansas offers a vibrant work environment and a workplace culture that promotes a healthy work-life balance. The benefits package includes university contributions to health, dental, life and disability insurance, tuition waivers for employees and their families, 12 official holidays, immediate leave accrual, and a choice of retirement programs with university contributions ranging from 5 to 10% of employee salary.
Below you will find the details for the position including any supplementary documentation and questions, you should review before applying for the opening.
If you have a disability and need assistance with the hiring process, please submit a request via the Disability Accommodations | OEOC | University of Arkansas (uark.edu) : Request an Accommodation. Applicants are required to submit a request for each position of which they have applied.
For general application assistance or if you have questions about a job posting, please contact Human Resources at 479.575.5351.
Department:
Karl Schubert Reports
Department's Website:
https://datascience.uark.edu
Summary of Job Duties:
The Data Science Program Teaching Associate Professor is a 12-month 100% appointed, non-tenure track position that provides instruction and assists with the development of course materials for the undergraduate and future graduate Data Science Program and undergraduate and future graduate Data Science Program course sequence, supports academic advising to undergraduate and graduate data science students, supports summer orientation for future graduate data science students, and serves on college and university committees as appropriate.
Regular, reliable, and non-disruptive attendance is an essential job duty, as is the ability to create and maintain collegial, harmonious working relationships with others.
Qualifications:
Minimum Qualifications:
  • Ph.D. or similar terminal degree in Data Science, Data Analytics, or closely related fields (e. g., computer science, statistics, operations research, industrial engineering) from an accredited institution of higher education; conferred by the start of employment
  • Demonstrated effective experience as a teacher for undergraduate and graduate data science, data analytics, or closely related fields courses at the third-year and fourth-year levels
  • Experience with programming in Python, R, and SQL
  • Experience working on multi-disciplinary teams

Preferred Qualifications:
  • A record of sustained excellence in teaching and scholarship
  • Recognition for teaching excellence at a regional or national level

Knowledge, Skills, & Abilities:
  • Ability to display a commitment to undergraduate and graduate data science students in developing their academic skills, especially upper-level students
  • Ability and interest in developing graduate level course work in data science

Additional Information:
Salary Information:
Commensurate with education and experience
Required Documents to Apply:
Cover Letter/Letter of Application, Curriculum Vitae, List of three Professional References (name, email, business title)
Optional Documents:
Proof of Veteran Status
Recruitment Contact Information:
Karl Schubert, Director of Data Science, schubert@uark.edu
All application materials must be uploaded to the University of Arkansas System Career Site https://uasys.wd5.myworkdayjobs.com/UASYS
Please do not send to listed recruitment contact.
Special Instructions to Applicants:
Pre-employment Screening Requirements:
Criminal Background Check, Sex Offender Registry
The University of Arkansas is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry (MVR) check, and/or drug screening. Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.
The University of Arkansas seeks to attract, develop and retain high quality faculty, staff and administrators that consistently display practices and behaviors to advance a culture that embeds equal opportunity, educational excellence and unparalleled access for all.
The University of Arkansas is an equal opportunity institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of any category or status protected by law, including age, race, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual preference, or pregnancy. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights.
Persons must have proof of legal authority to work in the United States on the first day of employment.
All Application information is subject to public disclosure under the Arkansas Freedom of Information Act.
Constant Physical Activity:
N/A
Frequent Physical Activity:
N/A
Occasional Physical Activity:
N/A
Benefits Eligible:
Yes

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