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Data Science Intern Jobs in Waukee, IA (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 ...

Description Feed Energy is seeking a motivated and curious AI & Data Intern to join our IT team. ... Data Science * Analytics * Mathematics * Computer Engineering * Strong technical skills in the ...

Feed Energy is seeking a motivated and curious AI & Data Intern to join our IT team. This role ... Data Science * Analytics * Mathematics * Computer Engineering * Strong technical skills in the ...

Data Science Associate

Des Moines, IA

$57K - $58K/yr

... science, engineering, or economics. * Less than 1-year hands-on experience with specific experience in data or statistical analysis, including data collection, joins, analysis, statistics and/or data ...

... science, engineering, or economics. * Less than 1-year hands-on experience with specific experience in data or statistical analysis, including data collection, joins, analysis, statistics and/or data ...

Partner with DH stakeholders (biotech & breeding, Genome Technology Discovery, Data Science) to align deliverables with deployment milestones. * Maintain IP & data stewardship practices consistent ...

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable ...

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Data Science Intern information

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How much do data science intern jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data science intern in Waukee, IA is $21.58, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $23.51 per hour, depending on experience, location, and employer.

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 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 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.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What are the most commonly searched types of Data Science jobs in Waukee, IA?

The most popular types of Data Science jobs in Waukee, IA are:

What are popular job titles related to Data Science Intern jobs in Waukee, IA?

For Data Science Intern jobs in Waukee, IA, the most frequently searched job titles are:

What job categories do people searching Data Science Intern jobs in Waukee, IA look for?

The top searched job categories for Data Science Intern jobs in Waukee, IA are:

What cities near Waukee, IA are hiring for Data Science Intern jobs?

Cities near Waukee, IA with the most Data Science Intern job openings:

Infographic showing various Data Science Intern job openings in Waukee, IA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $44,890 per year, or $21.6 per hour.

AI & Data Intern

Riverhead Resources

Pleasant Hill, IA • On-site

$25/hr

Full-time, Internship

Posted 10 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