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Data Science Internship Jobs in Utah (NOW HIRING)

Snap Finance

Data Analyst I

West Valley City, UT · On-site

Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics ... Internship experience in analytics, finance, technology, or related industries. * Curiosity for ...

Brex

Brex Rotational Program

Salt Lake City, UT · On-site

$58K - $66K/yr

Leadership roles in university clubs or organizations related to data science, AI, computer science, or business analytics. * Prior internships/full-time roles in an operational, data, or technical ...

RED CAT HOLDINGS

Data Engineer

Salt Lake City, UT

$105K - $126K/yr

Bachelor's degree in computer science, data engineering, information systems, or equivalent ... Some hands-on exposure to ETL/ELT or pipelines in production or in a substantial project/internship ...

Danaher

Digital Analyst Internships

Logan, UT · On-site

$85K - $100K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Computer Science, Information Systems, or a related field * Familiarity with data analysis ...

Danaher

Digital Analyst Internships

Orem, UT · On-site

$85K - $101K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Computer Science, Information Systems, or a related field * Familiarity with data analysis ...

Danaher

Digital Analyst Internships

Salt Lake City, UT · On-site

$95K - $112K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Computer Science, Information Systems, or a related field * Familiarity with data analysis ...

Danaher

Digital Analyst Internships

West Jordan, UT · On-site

$92K - $108K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Computer Science, Information Systems, or a related field * Familiarity with data analysis ...

Danaher

Digital Analyst Internships

Ogden, UT · On-site

$96K - $114K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Computer Science, Information Systems, or a related field * Familiarity with data analysis ...

Danaher

R&D Internships

Logan, UT · On-site

By submitting your interest, you'll be among the first to know when internship opportunities open ... You'll work in a collaborative environment alongside experienced scientists and contribute to real ...

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How much do data science internship jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for data science internship 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 in the Data Science Internship position, and why are they important?

To thrive as a Data Science Intern, you need a solid understanding of statistics, data analysis, and programming languages such as Python or R, often supported by progress towards a degree in a quantitative field. Familiarity with tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau, Power BI) is highly valued. Strong problem-solving skills, eagerness to learn, and effective communication are essential soft skills for this role. These abilities are crucial for drawing insights from data, collaborating with technical and non-technical colleagues, and contributing meaningfully to projects.

What is a Data Science Internship job?

A Data Science Internship is a temporary position designed to provide hands-on experience in data analysis, machine learning, and statistical modeling. Interns typically work with large datasets, clean and preprocess data, build models, and generate insights to support business decisions. They may also collaborate with data scientists, engineers, and business teams to solve real-world problems. This role helps develop technical skills in Python, SQL, and data visualization while gaining industry exposure.

What types of projects or tasks can I expect to work on during a Data Science Internship?

As a Data Science Intern, you may be involved in projects such as analyzing datasets to uncover trends, building and testing predictive models, or creating visual reports to help stakeholders understand key findings. Interns often support ongoing research, assist with data cleaning and preprocessing, and collaborate on team projects under the guidance of experienced data scientists. Depending on the company's focus, you might also contribute to deploying models or automating data pipelines. These tasks are designed to give you practical experience with real-world data challenges and help develop your technical and analytical skills.

What are the most commonly searched types of Data Science jobs in Utah? The most popular types of Data Science jobs in Utah are:
What are popular job titles related to Data Science Internship jobs in Utah? For Data Science Internship jobs in Utah, the most frequently searched job titles are:
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Data Science Internship jobs near you
Data Analyst I

Data Analyst I

Snap Finance

West Valley City, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

Company Overview:
At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit history. Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built on empowering our customers, partners, and team members alike. When our people thrive, so does our innovation.
If you're looking to make an impact and grow with a team that values you, come join us!
Job Description
The Data Analyst I is an entry-level analytics professional responsible for collecting, analyzing, and interpreting data to help drive informed business decisions across Snap's portfolio. This role partners with stakeholders across the organization to develop reports, dashboards, and actionable insights that improve operational efficiency and business performance. The ideal candidate is curious, detail-oriented, and passionate about transforming data into meaningful recommendations.
How you'll make an impact:
  • Collect, analyze, and interpret data from multiple sources to support business initiatives and decision-making.
  • Develop and maintain reports, dashboards, and visualizations that provide actionable insights to stakeholders.
  • Assist in identifying trends, patterns, and opportunities within large datasets.
  • Collaborate with business teams to understand reporting requirements and translate them into analytical solutions.
  • Support data validation, quality assurance, and governance efforts to ensure data accuracy and reliability.
  • Perform ad hoc analyses to answer business questions and support strategic initiatives.
  • Document reporting processes, methodologies, and business definitions.
  • Partner with cross-functional teams to improve reporting capabilities and operational efficiencies.
  • Present findings and recommendations to both technical and non-technical audiences.
  • Continuously learn and apply new analytical techniques, tools, and best practices.

What you'll need to succeed:
  • Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, Economics, or a related field.
  • 0-2 years of experience in data analysis, business intelligence, reporting, or related analytical work.
  • Experience in SQL, Python, and/or R for querying and analyzing data. AI tool utilization is also a plus.
  • Understanding of data analysis concepts, statistical methods, and reporting best practices.
  • Strong analytical and problem-solving skills.
  • Ability to communicate insights clearly to technical and non-technical stakeholders.
  • Strong attention to detail and commitment to data accuracy.
  • Ability to manage multiple priorities in a fast-paced environment.

What would make you stand out:
  • Experience with Python, R, or another analytical programming language.
  • Experience building dashboards in Tableau, R, Studio, or Python.
  • Exposure to ETL processes, data warehousing, or data modeling concepts.
  • Knowledge of statistical analysis, A/B testing, or predictive analytics.
  • Experience working with large datasets and complex business problems.
  • Internship experience in analytics, finance, technology, or related industries.
  • Curiosity for uncovering insights and driving data-informed decision making.
  • Experience working in cross-functional team environments.
  • Passion for continuous learning and professional development.

Why Join Us:
  • Generous paid time off
  • Competitive medical, dental & vision coverage
  • 401K with company match for US
  • Company-paid life insurance
  • Company-paid short-term and long-term disability
  • Access to mental health and wellness resources
  • Company-paid volunteer time to do good in your community
  • Legal coverage and other supplemental options
  • A value-based culture where growth opportunities are endless

More:
Snap values diversity and all qualified applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Learn more by visiting our website at www.snapfinance.com.
California Residents, please review our California Consumer Privacy Act Notice at https://snapfinance.com/ccpa-notice

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