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Internship Mathematical Engineer Jobs in Orem, UT

Data Scientist

Lehi, UT ยท On-site

$90 - $130/hr

... internships, academic projects, or applied professional experience * Working knowledge of Python ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering ...

Senior Navigation/IMU Engineer

Provo, UT

$98K - $135K/yr

... Mathematics (STEM) major and a minimum of 5 years of prior relevant experience (excluding ... internships). * An advanced degree in a related field may be substituted for additional years of ...

At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on ... Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum ...

At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on ... Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) obtained prior to ...

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Internship Mathematical Engineer information

See Orem, UT salary details

$9

$16

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How much do internship mathematical engineer jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for internship mathematical engineer in Orem, UT is $16.79, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $18.17 per hour, depending on experience, location, and employer.

What does an internship mathematical engineer do?

An Internship Mathematical Engineer works under the supervision of experienced engineers to apply mathematical theories and techniques to solve real-world engineering problems. Typical responsibilities include creating mathematical models, analyzing data, running simulations, and supporting research and development projects. Interns often collaborate with multidisciplinary teams, contribute to technical reports, and help optimize engineering processes. This role provides hands-on experience in applying math to fields like software development, data science, or industrial engineering.

What are the key skills and qualifications needed to thrive as an internship mathematical engineer?

To thrive as an Internship Mathematical Engineer, you need a solid grasp of advanced mathematics, problem-solving abilities, and a background in engineering or applied mathematics, typically supported by current enrollment in a relevant degree program. Familiarity with programming languages (such as Python or MATLAB), mathematical modeling software, and data analysis tools is commonly expected. Strong analytical thinking, attention to detail, and effective teamwork skills make candidates stand out in this position. These competencies are crucial for accurately modeling complex systems, delivering innovative solutions, and collaborating efficiently within technical teams.

What types of projects do internship mathematical engineers typically work on, and how do these projects contribute to the team?

As a Mathematical Engineering intern, you can expect to work on projects that involve developing mathematical models, analyzing large datasets, or creating simulations to solve real-world problems relevant to your team. These projects often support ongoing research, product development, or process optimization efforts, allowing you to apply theoretical knowledge in practical contexts. Interns frequently collaborate with senior engineers, data scientists, and software developers, gaining exposure to cross-functional teamwork and learning industry-standard tools. Your contributions can directly impact the team's outcomes, providing valuable experience and potential opportunities for future roles within the organization.

What are popular job titles related to Internship Mathematical Engineer jobs in Orem, UT?

For Internship Mathematical Engineer jobs in Orem, UT, the most frequently searched job titles are:

Data Scientist

Jobtailor

Lehi, UT โ€ข On-site

$90 - $130/hr

Other

Posted 10 days ago


Job description

  • Analyze structured and unstructured datasets to identify trends and answer business questions
  • Develop, test, and refine statistical and analytical models
  • Contribute to analytics capabilities aligned with product roadmaps, customer needs, and business use cases
  • Partner with data warehouse engineers, data engineers, product teams, subject-matter experts, and stakeholders on end-to-end analytical solutions
  • Prepare, clean, transform, and validate data for analysis, modeling, reporting, and experimentation
  • Evaluate new data sources and analytical methods
  • Document analytical approaches and communicate findings
  • Support deployment and ongoing improvement of data science solutions
Requirements
  • 2โ€“4 yearsโ€™ experience in data science, analytics, statistical modeling, or a related field, including relevant internships, academic projects, or applied professional experience
  • Working knowledge of Python and SQL
  • Understanding of statistical methods, model evaluation, and analytical problem-solving
  • Experience identifying patterns, testing hypotheses, and communicating actionable findings from datasets
  • Familiarity with database concepts, data warehousing, or data-processing workflows
  • Strong written and verbal communication skills
  • Bachelorโ€™s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field, or equivalent practical experience
  • Coursework, academic projects, certifications, or early professional experience involving artificial intelligence, machine learning, or generative AI
  • Experience with pandas, NumPy, scikit-learn, or similar analytical tools
  • Exposure to AI or machine-learning tools, frameworks, APIs, or cloud-based AI services
  • Experience applying AI or machine learning to practical business, product, or customer use cases
  • Exposure to R or other data science and statistical tools
  • Experience with Power BI, Tableau, or MicroStrategy
  • Familiarity with cloud data platforms, distributed data-processing environments, or production analytics workflows
Core Competencies

Demonstrates expertise in data analysis, statistical modeling, and machine learning, with proficiency in Python and SQL. Capable of collaborating with cross-functional teams to develop and implement data-driven solutions that address business needs.

Highest-signal resume keywords
  • Data Analysis
  • Statistical Modeling
  • Python Programming
  • SQL Proficiency
  • Machine Learning
ATS Optimization Keywords Hard Skills
  • Data Science
  • Statistical Methods
  • Model Evaluation
  • Data Cleaning
  • Data Transformation
  • Pattern Identification
  • Hypothesis Testing
  • Analytical Problem-Solving
  • Data Visualization
  • Cloud-Based AI Services
Soft Skills
  • Strong Communication Skills
Industry Keywords
  • Data Warehousing
  • Data Processing Workflows
  • Distributed Data Processing
  • Business Use Cases
  • Analytics Capabilities
Tools & Technologies
  • Pandas
  • NumPy
  • Scikit-Learn
  • Power BI
  • Tableau
  • MicroStrategy
  • AI Tools
  • Machine Learning Frameworks
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