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Data Science Internship Cpt Jobs in Utah (NOW HIRING)

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 ...

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 ...

Working closely with teams across Risk, Finance, Data Science, Product, and Operations, you'll gain ... Internship or academic project experience involving data analysis or statistical modeling.

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 ...

... data visualization, and mission integration support. Required: * US citizen or permanent resident ... Working on a Bachelor of Science Degree in Computer Science, Electrical Engineering, or equivalent.

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... data visualization, and mission integration support. Required: * US citizen or permanent resident ... Working on a Bachelor of Science Degree in Computer Science, Electrical Engineering, or equivalent.

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Data Engineer

Salt Lake City, UT · On-site

$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 ...

Showing results 21-40

Data Science Internship Cpt information

What is the difference between Data Science Internship Cpt vs Data Analyst Internship Cpt?

AspectData Science Internship CptData Analyst Internship Cpt
Required CredentialsTypically requires coursework in statistics, programming, and data analysis; sometimes a related degreeSimilar requirements, often focusing on data analysis and visualization skills
Work EnvironmentInvolves data modeling, machine learning, and predictive analytics in tech or finance sectorsFocuses on data cleaning, reporting, and visualization in various industries
Employer & Industry UsageUsed by tech companies, finance, and consulting firms for data-driven projectsCommon across multiple industries including marketing, healthcare, and retail

While both internships involve working with data, Data Science Internship Cpt emphasizes machine learning and predictive modeling, whereas Data Analyst Internship Cpt focuses on data visualization and reporting. Both roles require similar foundational skills but differ in their technical depth and application areas.

What types of projects and collaboration opportunities can I expect during a Data Science Internship CPT?

During a Data Science Internship CPT, you can expect to work on real-world data projects such as data cleaning, exploratory analysis, model development, and visualization tasks. Interns often collaborate closely with data scientists, engineers, and product managers, gaining exposure to cross-functional teamwork. You may also participate in meetings, present findings, and contribute to solving business challenges using data-driven approaches. This environment fosters both technical skill development and professional growth, providing valuable experience for future roles in the field.

What is a Data Science Internship CPT?

A Data Science Internship CPT (Curricular Practical Training) is a temporary work authorization for F-1 international students in the U.S., allowing them to gain practical experience in data science while enrolled in a degree program. The internship must be directly related to the student's major and typically offered through a cooperative agreement between the employer and the educational institution. CPT is usually part-time during the academic year and can be full-time during breaks, but using full-time CPT for 12 months or more may affect eligibility for Optional Practical Training (OPT).

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

To thrive as a Data Science Internship CPT, you typically need foundational knowledge in statistics, programming (usually Python or R), and data analysis, often supported by ongoing studies in computer science or a related field. Familiarity with tools such as Jupyter Notebook, SQL databases, and machine learning libraries like scikit-learn or TensorFlow is highly valuable. Strong problem-solving skills, curiosity, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for contributing meaningfully to data-driven projects and learning effectively during the internship.
What are popular job titles related to Data Science Internship Cpt jobs in Utah? For Data Science Internship Cpt jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Data Science Internship Cpt jobs? Cities in Utah with the most Data Science Internship Cpt job openings:
Infographic showing various Data Science Internship Cpt job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Integration Analyst Intern

Jade Global

Ogden, UT

Full-time

Re-posted 17 days ago


Job description

Integration Analyst Intern1

Integration Analyst Intern in the Data & AI Team

Launch Your Career with Jade Global

Are you ready to start a career where your talents are recognized, your growth is supported, and your work truly matters?

At Jade Global, we're looking for recent graduates with strong potential, curiosity, and drive. While prior experience in technology is aplus, it's not required - what matters most is yourmotivation to learn, grow, and make an impact. We take a personalized approach to hiring, placing greater weight on who you are and what excites you, not just your GPA.

You'll be joining a team of 1,000+ experienced business and technology professionals who are invested in your success. From day one, you'll receive hands-on coaching, mentorship, and a fast-track, individualized career path designed to help you thrive over the next 3-5 years.

This is not an internship - it's a full-time opportunity with acompetitive salary, full benefits, and generous performance-based compensation. You'll be working with some of the most innovative and high-growth companies in Silicon Valley and beyond.

We're seeking the next generation ofleaders, problem-solvers, and innovatorsfrom top universities around the world - people who are passionate about technology, eager to take ownership, and committed to excellence.

Ready to build your future with us? Let's get started.

Responsibilities include:

  • Exciting projects involving Boomi or Workato, focusing on building robust integration solutions to support streamlined business processes.

  • Develop and optimize data pipelines, automate workflows, and enable seamless connectivity between various systems.

  • Create AI Agents to solve complex business challenges.


Candidate Profile:

  • Bachelor's degree in Computer Science, Data Science, AI/ML, or related field

  • Strong Python programming skills

  • Understanding of ML algorithms like linear regression, classification, clustering, etc.

  • Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch

  • Good understanding of data structures and algorithm

  • Desire to learn

  • Strong analytical thinking and problem-solving and analytical skills.

  • Independent person able to manage self and activities within a schedule

  • Able to facilitate conversations and drive decisions

  • Passionate

  • Creative thinker

  • Takes initiative and ownership

  • Strong team player

  • Strong communicator

  • Interest in learning and growing both technically and as a person

  • Exposure to NLP, Computer Vision, or Generative AI is a plus

  • Experience with Jupyter Notebooks and Git is a plus

  • Knowledge of SQL and cloud platforms (AWS, Azure, GCP) is a plus


What You'll Gain:

  • Mentoring and learning from AI/ML professionals

  • Collaborative and innovation-driven environment

  • Strong understanding of customer integration needs

  • Ability to translate customer requirements into visible results through leading edge technology

  • Deep understanding of proven integration tools

  • Career growth opportunities within the Data & AI team