1

Aerospace Data Science Internship Jobs in Iowa (NOW HIRING)

Job Type Internship Description Feed Energy is seeking a motivated and curious AI & Data Intern to ... Data Science * Analytics * Mathematics * Computer Engineering * Strong technical skills in the ...

Software Engineer I (Onsite)

Cedar Rapids, IA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on ... science and find new ways to connect and protect our world. Collins Aerospace is a leader in ...

The Data Analytics Associate develops and analyzes data requirements, integrates large data sets ... The salary range (or starting rate for interns and associates) for this role represents numerous ...

New

next page

Showing results 1-20

Aerospace Data Science Internship information

What types of projects and technologies might I work with during an aerospace data science internship?

As an Aerospace Data Science Intern, you can expect to work on projects involving large datasets from flight sensors, satellite imagery, or aircraft performance metrics. You'll likely use programming languages such as Python or R, and leverage machine learning libraries to analyze patterns, optimize operations, or predict maintenance needs. Collaboration is common with engineers, data analysts, and sometimes flight operations teams, offering valuable exposure to cross-functional teamwork. These projects provide an opportunity to develop practical modeling skills while gaining insight into real-world aerospace challenges.

What are the key skills and qualifications needed to thrive as an aerospace data science intern, and why are they important?

To thrive as an Aerospace Data Science Intern, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by coursework in engineering, mathematics, or computer science. Familiarity with tools like MATLAB, SQL, machine learning libraries, and data visualization platforms is commonly expected. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings clearly are highly valued soft skills. These competencies are crucial for analyzing aerospace datasets, deriving actionable insights, and supporting innovation in a high-stakes engineering environment.

What is an aerospace data science internship?

An Aerospace Data Science Internship is a temporary position for students or recent graduates to gain hands-on experience applying data science techniques within the aerospace industry. Interns typically work on projects involving data analysis, machine learning, and modeling to solve problems related to aircraft, spacecraft, or satellite systems. This role provides exposure to real-world aerospace challenges, allowing interns to develop both technical and industry-specific skills while collaborating with engineers, scientists, and data professionals.

What are popular job titles related to Aerospace Data Science Internship jobs in Iowa?

For Aerospace Data Science Internship jobs in Iowa, the most frequently searched job titles are:

What cities in Iowa are hiring for Aerospace Data Science Internship jobs?

Cities in Iowa with the most Aerospace Data Science Internship job openings:

Infographic showing various Aerospace Data Science Internship job openings in Iowa as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Temporary. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution.

AI & Data Intern

Riverhead Resources

Pleasant Hill, IA • On-site

$25/hr

Full-time, Internship

Posted 5 days ago


Job description

Job Type
Internship
Description
Feed Energy is seeking a motivated and curious AI & Data Intern to join our IT team. This role provides hands-on experience working with data, analytics, and emerging AI technologies to support business decisions and operational efficiency. The ideal candidate is eager to learn, technically inclined, and excited about applying data-driven insights in a real-world environment. Success in this role means making a measurable impact - for example, reducing reporting turnaround times by 20% or improving data accuracy rates above 95%. Depending on timing and data infrastructure, top performers may have the opportunity to contribute to building an internal data chatbot that enables business users to query our data warehouse using natural language.
Key Responsibilities
  • Assist in collecting, cleaning, and organizing structured and unstructured data from multiple sources
  • Support the development and maintenance of dashboards, reports, and visualizations
  • Work with IT and business teams to identify opportunities for data analysis and automation
  • Participate in AI-focused initiatives such as:
    • Exploring machine learning models
    • Assisting with predictive analytics projects
    • Testing and validating AI solutions
  • Help design and document data pipelines and workflows
  • Conduct exploratory data analysis (EDA) to identify trends and insights
  • Assist with data governance, quality checks, and security practices
  • Create documentation and present findings to stakeholders

Learning Opportunities
  • Gain real-world experience in enterprise data environments
  • Work with modern AI and analytics tools
  • Develop business acumen by supporting cross-functional teams
  • Receive mentorship from IT and data professionals

Duration & Compensation
  • Duration: 10-12 weeks
  • Compensation: Paid, $25/hr

Requirements
Required Qualifications
  • Currently pursuing a degree or recent graduate in:
    • Computer Science
    • Data Science
    • Analytics
    • Mathematics
    • Computer Engineering
  • Strong technical skills in the following areas:
    • Proficiency in Python (including pandas and data manipulation libraries) and/or R
    • SQL and relational databases (e.g., ability to write queries with JOINs, aggregations, and filters to pull and transform data)
    • Data analysis concepts
  • Familiarity with Microsoft Excel and/or Power BI, Tableau, or similar tools
  • Strong analytical and problem-solving skills
  • Excellent communication and teamwork abilities

Preferred Qualifications
  • Exposure to AI/ML concepts (e.g., regression, classification, clustering, NLP, generative AI/LLMs)
  • Experience with data visualization tools (Power BI preferred)
  • Familiarity with Claude and Agentic AI
  • Coursework or projects related to data analytics or AI

Key Competencies
  • Curiosity and willingness to learn
  • Attention to detail
  • Critical thinking
  • Adaptability and initiative

How to Apply Submit your resume along with any relevant projects, GitHub links, or portfolios demonstrating data or AI work. Strong weight will be placed on portfolios and project submissions - we want to see what you've built and contributed to. Be prepared to discuss your projects in technical detail during the interview.
Salary Description
$25.00 / hr