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Data Intern Jobs in Utah (NOW HIRING)

Marketing Design Intern - 2025 Summer Intern

Ogden, UT · Remote

$14.75 - $19.50/hr

Overview Join our growing data security company as a Marketing Design Intern. In this role, you'll support our marketing team by creating visually arresting images and videos that communicate complex ...

RevOps Intern

Farmington, UT · On-site

$14.25 - $19/hr

LoanPro's RevOps Intern supports the sales and revenue teams by analyzing existing data sets, optimizing and developing processes, and assisting in various Revenue Operational projects to drive sales ...

Sales Development Representative Intern

Sandy, UT · On-site

$14.25 - $19/hr

... data into the database. This information is used to penetrate the company with the intent of securing an opportunity to pass to the sales team. As a Sales Development Intern, a Typical Day Might ...

Unpaid Intern

Salt Lake City, UT · On-site

$14.50 - $19.25/hr

This internship is structured primarily for the benefit of the intern and is intended to complement academic learning through practical application, observation, and skill development. This ...

SPRING * 211 Database Intern: Working with our extensive resource database, you'll have the opportunity to develop critical skills in data evaluation, accuracy, and manipulation. * Marketing Events ...

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Data Intern information

See Utah salary details

$10

$20

$38

How much do data intern jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for data intern in Utah is $20.49, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $22.31 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Intern, and why are they important?

To thrive as a Data Intern, you typically need foundational knowledge in data analysis, statistics, and programming languages such as Python or R, often supported by coursework in computer science or a related field. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software, and SQL databases is commonly expected. Strong attention to detail, problem-solving ability, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for accurately analyzing data, supporting business decisions, and contributing meaningfully to projects in a collaborative environment.

What does a Data Intern do?

A Data Intern assists data teams by collecting, cleaning, and analyzing data to support business decisions. They often work with tools like Excel, SQL, or Python to organize and visualize data. Typical tasks may include data entry, quality checks, building reports, and helping with basic research projects. This role provides valuable experience in data analysis and helps interns develop technical and analytical skills needed for future data-related careers.

What is the difference between Data Intern vs Data Analyst?

AspectData InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some experience
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time role, responsible for analyzing data and reporting
Employer & Industry UsageInternships in tech, finance, healthcare, etc.Established companies across various industries

The main difference between a Data Intern and a Data Analyst lies in experience and responsibilities. Data Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are more experienced professionals responsible for analyzing data, creating reports, and supporting decision-making. Internships serve as a stepping stone toward a full Data Analyst role, which requires more skills and experience.

What types of projects and tasks can a Data Intern typically expect to work on during their internship?

As a Data Intern, you can expect to be involved in a variety of hands-on projects such as cleaning and organizing datasets, assisting with data collection, and supporting the development of reports or dashboards. You may work closely with data analysts, data scientists, or business teams to help identify trends and uncover insights from raw data. This role often includes learning to use data analysis tools like Excel, Python, or SQL, and contributing to ongoing team projects while gaining exposure to real-world data challenges. Interns are usually given guidance and mentorship, making this a great opportunity to build foundational skills and understand how data-driven decisions are made in the organization.
What are the most commonly searched types of Data jobs in Utah? The most popular types of Data jobs in Utah are:
What cities in Utah are hiring for Data Intern jobs? Cities in Utah with the most Data Intern job openings:
Research Scientist Intern (2025)

Research Scientist Intern (2025)

Whiterabbit.ai

Salt Lake City, UT

Other

Posted 24 days ago


Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity