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Data Science Internships Jobs in Utah (NOW HIRING)

Jobtailor

Data Scientist

Lehi, UT · On-site

$90 - $130/hr

Partner with data warehouse engineers, data engineers, product teams, subject-matter experts, and ... science, analytics, statistical modeling, or a related field, including relevant internships ...

Clyde Companies

Business Intelligence Intern

Orem, UT · On-site

$13.75 - $17.25/hr

Overview The Clyde internship experience is designed to allow candidates to apply their academic ... Science, Information Systems, Data Science, Information Technology, or Cybersecurity. Job ...

Jade Global

Data/Ai Engineer Intern

Ogden, UT · On-site

This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ... Bachelor's degree in Computer Science, Data Science, AI/ML, or related field * Strong Python ...

Clyde Companies

Cybersecurity Intern

Orem, UT · On-site

$13 - $17.50/hr

Overview The Clyde internship experience is designed to allow candidates to apply their academic ... Science, Information Systems, Data Science, Information Technology, or Cybersecurity. Job ...

Jade Global

Data/Ai Engineer Intern

Ogden, UT

This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ... Bachelor's degree in Computer Science, Data Science, AI/ML, or related field * Strong Python ...

American Heart Association

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

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How much do data science internships jobs pay per year?

As of Aug 28, 2026, the average yearly pay for data science internships in Utah is $95,511.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,502.00 and $138,943.00 per year, depending on experience, location, and employer.

What is a data science internship?

A Data Science Internship is a temporary position where students or recent graduates gain hands-on experience in data analysis, machine learning, and statistical modeling. Interns typically work with real-world datasets, build predictive models, and assist in data-driven decision-making processes. They may use programming languages like Python or R, tools such as SQL, and visualization libraries to communicate insights. This role helps develop technical and analytical skills while providing exposure to industry practices.

What do data science interns do?

Data Science Interns usually assist with tasks such as data cleaning and preprocessing, exploratory data analysis, developing and testing predictive models, and creating data visualizations to help teams make informed decisions. Interns often collaborate closely with data scientists, engineers, and business analysts, allowing them to contribute to larger, real-world projects while learning best practices. Daily responsibilities might also include attending team meetings, presenting results to stakeholders, and documenting their work. This hands-on experience allows interns to apply academic knowledge, build a professional portfolio, and prepare for future opportunities in the field.

What skills and qualifications are needed for data science internships?

To excel in Data Science Internships, a solid understanding of statistics, programming (often in Python or R), and data analysis is typically required, often supported by progress toward a degree in a related field. Familiarity with tools like SQL, Jupyter notebooks, data visualization libraries, and sometimes cloud platforms or machine learning frameworks is common. Strong problem-solving abilities, attention to detail, and effective communication skills help interns succeed in team environments. These skills enable interns to analyze real-world datasets, communicate findings clearly, and contribute meaningful insights to organizational projects.

What do you do as a data science internship?

A data science internship involves assisting with data collection, cleaning, analysis, and visualization to support business decisions. Interns often work with tools like Python, R, and SQL, and may contribute to building predictive models or dashboards under supervision. The role provides practical experience in data analysis and machine learning techniques within a professional environment.

What are the most commonly searched types of Data Science Internships jobs in Utah?

The most popular types of Data Science Internships jobs in Utah are:

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For Data Science Internships jobs in Utah, the most frequently searched job titles are:

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Data Science Internships jobs near you
Infographic showing various Data Science Internships job openings in Utah as of August 2026, with employment types broken down into 53% Full Time, 33% Part Time, 7% Temporary, and 7% Nights. Highlights an 93% In-person, and 7% Hybrid job distribution, with an average salary of $95,511 per year, or $45.9 per hour.

Intern - Applied AI & Data Science

Salt Lake City, UT

ARUP
Construction • 10K+ employees
Learn more about ARUPexternal

$20/hr

Internship

Posted yesterday

New

Job description

Schedule:
Duration of Internship: September 14, 2026 - December 14, 2026
Status: Non-benefited
Hours: Less than 29 hours per week
Days: Monday - Friday, flexible based on intern availability

Department: R&I Appl AI & Bioinformatics - 339

The Intern is utilized in various departments. ARUP's culture is one of caring for both the patient and its employees.

About the Supervisor:

Brendan O’Fallon, PhD., is the Bioinformatics Director at ARUP, and oversees the Applied AI (AAI) team.  The team works on machine learning and AI projects in digital pathology, flow cytometry, next generation sequencing, and clinical lab informatics.

Internship Description:

Projects that fit the skills and goals of the intern will be identified at the beginning of the internship, but will likely include exploratory data analysis, training machine learning or deep learning algorithms, or developing AI agents. The intern will work closely with a senior data scientist mentor, and will attend weekly meetings and standups.  At the end of the internship the final product or analysis will be presented to other data scientists, medical directors, and scientists from across the company.

Internship Goals: 

  • Develop proficiency with python data analysis tools
  • Refine data visualization skills
  • Become familiar with development of AI (LLM-based) agents
  • Learn basic concepts of laboratory information science

Knowledge, Skills & Techniques Learned from Internship:

Agentic Workflows

Data Science in Laboratory Medicine

LLM validation and QC

Basics of genomics, hematopathology, and/or digital pathology

Data visualization and written communication of scientific concepts

Measurement of New Skills:

Intern will be asked to present project to suitable user group at the end of the internship, including data scientists, MDs, laboratory staff, or other groups as relevant to the project.

About ARUP:
ARUP Laboratories is a national clinical and anatomic pathology reference laboratory and an enterprise of the University of Utah and its Department of Pathology. Based in Salt Lake City, Utah.
ARUP proudly hires top talent to create a work environment of diversity, professional growth and continuous development. Our workforce is committed to the important service we provide to over one million patients each month. We always strive for excellence and have a strong desire to have involvement with the advances in medicine and the role laboratory services plays within each patient’s life. We never forget that there is a patient behind every specimen we receive.
We are looking for individuals who want to contribute to ARUP's culture of accountability, integrity, service, and excellence. Consider joining our dynamic team.

Physical and Other Requirements:
Stooping: Bending body downward and forward by bending spine at the waist.
Reaching: Extending hand(s) and arm(s) in any direction.
Mobility: The person in this position needs to occasionally move between work sites and inside the office to access file cabinets, office machinery, etc.
Communicate: Frequently and effectively communicate with others.
PPE: Biohazard laboratory environment that requires use of personal protective equipment in accordance with CDC and OSHA regulations and company policies.
ARUP Policies and Procedures: To conduct self in compliance with all ARUP Policies and Procedures.
Sedentary Work: Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body.
Fine Motor Control: Picking, pinching, typing or otherwise working, primarily with fingers rather than with the whole hand as in handling.
Vision: Having close, far, and peripheral visual acuity to perform a variety of tasks such as make general observations of depth and distance.

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