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Data Science Intern Jobs in Alpine, UT (NOW HIRING)

Several years of data science experience are preferred. Requirements You need to be: Independent Smart Good at communicating Capable Python programmer Able to think critically and effectively about ...

... data science and advanced analytics for large manufacturing and retail company. Employ Artificial Intelligence and Machine Learning techniques across all business channels, customer and consumer ...

... data science and advanced analytics for large manufacturing and retail company. Employ Artificial Intelligence and Machine Learning techniques across all business channels, customer and consumer ...

... data science and advanced analytics for large manufacturing and retail company. Employ Artificial Intelligence and Machine Learning techniques across all business channels, customer and consumer ...

This person will primarily work as part of the larger Data Science team interacting Product Management and Application teams to conduct analysis and experimentation to maximize the utility of ...

This person will primarily work as part of the larger Data Science team interacting Product Management and Application teams to conduct analysis and experimentation to maximize the utility of ...

This person will primarily work as part of the larger Data Science team interacting Product Management and Application teams to conduct analysis and experimentation to maximize the utility of ...

The ideal candidate understands how to apply the practices of data science to understand a problem and generate significant value through powerful predictive models. This role is tailored for working ...

Design and implement advanced data science and AI solutions to optimize process performance, improve product quality, and accelerate innovation. * Work in cross-functional teams of scientists ...

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Data Science Intern information

See Alpine, UT salary details

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$39

How much do data science intern jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for data science intern in Alpine, UT is $21.27, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $23.17 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on as a Data Science Intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What does a Data Science Intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

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

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.
What cities near Alpine, UT are hiring for Data Science Intern jobs? Cities near Alpine, UT with the most Data Science Intern job openings:
Data Engineering and Business Intelligence Intern

Data Engineering and Business Intelligence Intern

Clyde Companies Inc.

Orem, UT • On-site

Part-time

Posted 16 days ago


Clyde Companies rating

8.3

Company rating: 8.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Overview

Description


We are seeking a motivated and eager Data Engineering and Business Intelligence Intern to join our team. This internship is an excellent opportunity for individuals looking to gain hands-on experience in data engineering and business intelligence using the tools found in Microsoft Fabric. These tools include Data Factory, Data Activator, Synapse Data Warehouse, Synapse Data Engineering, Synapse Data Science, Synapse Real-Time Analytics, and Power BI. The intern will work as part of a development team to complete tasks with mentoring and supervision.

Responsibilities


  • Assist in the design, development, and maintenance of data pipelines and ETL processes.
  • Collaborate with data engineers and analysts to gather requirements and ensure data quality and integrity.
  • Support the creation and optimization of data models for business intelligence and analytics.
  • Develop and maintain dashboards and reports using BI tools (e.g., Tableau, Power BI).
  • Perform data analysis to identify trends, patterns, and insights that drive business decisions.
  • Participate in code reviews and contribute to the improvement of data engineering practices.
  • Document processes, workflows, and data dictionaries.

Qualifications


  • Currently pursuing a degree in Computer Science, Data Science, Information Systems, or a related field.
  • Strong understanding of SQL and experience with relational databases.
  • Familiarity with data warehousing concepts and ETL processes.
  • Experience with BI tools such as Tableau, Power BI, or similar.
  • Proficiency in at least one programming language (e.g., Python, Java).
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and teamwork abilities.

What We Offer


  • Hands-on experience with real-world data engineering and BI projects.
  • Mentorship from experienced professionals in the field.
  • Opportunity to work in a collaborative and innovative environment.
  • Potential for future full-time employment based on performance.

What Clyde Companies employees say

Pay

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