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Sports Data Science Internship Jobs in Iowa (NOW HIRING)

Riverhead Resources

AI & Data Intern

Pleasant Hill, IA · On-site

$25/hr

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 ...

RSM

Data Analytics Associate

Des Moines, IA · On-site

$66K/yr

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

RSM

Data Analytics Associate

Davenport, IA · On-site

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

RSM

Data Analytics Associate

Des Moines, IA · On-site

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

RSM

Data Analytics Associate

Davenport, IA · On-site

$66K/yr

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

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All JobsSports Data Science JobsSports Data Science Internship JobsSports Data Science Internship Jobs in Iowa

Sports Data Science Internship information

What is a sports data science internship?

A Sports Data Science Internship is a temporary position that allows students or recent graduates to gain hands-on experience applying data science techniques to sports-related problems. Interns typically work with data from games, athletes, or teams to analyze performance, develop predictive models, and support decision-making in sports organizations. This role often involves using programming languages like Python or R, working with large datasets, and collaborating with coaches or analysts. Interns may also assist in visualizing data and presenting insights to help improve team strategies or player development.

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

To thrive as a Sports Data Science Intern, strong quantitative skills, a background in statistics or data science, and experience with sports analytics are generally required. Familiarity with programming languages such as Python or R, data visualization tools, and knowledge of sports data platforms or databases is typical. Strong problem-solving abilities, attention to detail, and effective communication help interns stand out in team settings. These skills are crucial for analyzing complex sports data, generating actionable insights, and effectively conveying findings to coaches and decision-makers.

What types of projects or tasks can I expect to work on during a sports data science internship?

As a Sports Data Science Intern, you can expect to work on projects such as analyzing player performance data, building predictive models for game outcomes, and cleaning large datasets for use in analytics. Interns often collaborate with data scientists, coaches, and performance analysts to translate raw data into actionable insights. You'll likely use programming languages like Python or R and get exposure to sports-specific analytics software, providing valuable hands-on experience that can help launch your career in sports analytics.

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

AspectSports Data Science InternshipSports Data Analyst
Required CredentialsRelevant coursework, basic programming skillsDegree in statistics, data science, or related field
Work EnvironmentInternship programs, sports teams, analytics companiesFull-time roles in sports organizations, analytics firms
Employer & Industry UsageEntry-level, training-focused positions in sports analyticsProfessional, ongoing data analysis roles in sports

The Sports Data Science Internship is an entry-level, training-focused position designed for students or recent graduates gaining experience in sports analytics. In contrast, a Sports Data Analyst is a full-time professional role requiring more experience and specialized skills. Internships provide foundational exposure, while analysts handle ongoing data projects in sports organizations.

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

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

What job categories do people searching Sports Data Science Internship jobs in Iowa look for?

The top searched job categories for Sports Data Science Internship jobs in Iowa are:

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

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

Sports Data Science Internship jobs near you
Infographic showing various Sports Data Science Internship job openings in Iowa as of August 2026, with employment types broken down into 14% Internship, 53% Full Time, and 33% Part Time. Highlights an 95% In-person, and 5% Hybrid job distribution.

AI & Data Intern

Riverhead Resources

Pleasant Hill, IA • On-site

$25/hr

Full-time, Internship

Posted 6 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

Apply