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Monday Friday Data Science Internships Jobs in Utah

L3HHCM20

Senior Specialist, Data Architect

Salt Lake City, UT · On-site

$64.50 - $86.25/hr

... every other Friday off) POSITION DESCRIPTION As a member of the Data Analytics team, you will ... Work closely with data scientists, data engineers, and IT partners to ensure successful ...

Search Solution Group

Be Seen First

Event Coordinator/Campaign Intern

South Jordan, UT · On-site

$19 - $24/hr

... Internship Duration: 6-8 weeks Schedule: Full-time, Monday-Friday, 8:30 AM-5:00 PM Potential ... Comfortable creating tables, organizing data, and navigating Excel. * Strong research and ...

Clyde Companies

IT Service Center 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 ...

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Monday Friday Data Science Internships information

What is the difference between Monday Friday Data Science Internships vs Monday Friday Data Analyst Internships?

AspectMonday Friday Data Science InternshipsMonday Friday Data Analyst Internships
Required CredentialsTypically requires a degree in Data Science, Computer Science, or related fieldsUsually requires a degree in Statistics, Business, or related fields
Work EnvironmentFocuses on developing models, algorithms, and predictive analyticsCenters on interpreting data, creating reports, and supporting decision-making
Employer & Industry UsageUsed in tech, finance, and e-commerce sectors for advanced analyticsCommon in marketing, finance, and consulting firms for data reporting

While both internships involve working with data, Data Science Internships focus on building models and algorithms, whereas Data Analyst Internships emphasize data interpretation and reporting. Your choice depends on your skills and career goals in data roles.

Which company is best for a Monday Friday Data Science Internship?

The best company for a Monday to Friday Data Science Internship depends on the industry, project opportunities, and mentorship quality. Top firms often offer structured programs with exposure to tools like Python, R, and SQL, and may require prior coursework or skills in data analysis and machine learning.

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:

What are popular job titles related to Monday Friday Data Science Internships jobs in Utah?

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

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The top searched job categories for Monday Friday Data Science Internships jobs in Utah are:

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Cities in Utah with the most Monday Friday Data Science Internships job openings:

Monday Friday Data Science Internships jobs near you

Intern - Applied AI & Data Science

Salt Lake City, UT

ARUP
Construction • 10K+ employees
Learn more about ARUPexternal

$20/hr

Internship

Posted 4 days ago

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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