Paid AI & Data Intern: Build Dashboards & ML Prototypes

Feed Energy; Pleasant Hill (IA); On-site; USD 21,000 - 34,000; Full time

Benefits offered by this job

Mentorship

Paid internship

Job summary

Feed Energy in the United States is offering an AI & Data Intern role within the IT team. You will gain hands-on experience collecting, cleaning, and analyzing data, building dashboards, and exploring AI techniques to support business decisions and efficiency.

Ideal candidates are pursuing STEM degrees, comfortable with Python or R, SQL, and data visualization tools, and eager to contribute to data governance and automation projects during a 10–12 week paid internship.

Qualifications

• Currently pursuing a degree or recent graduate in Computer Science, Data Science, Analytics, Mathematics, or Computer Engineering.
• Strong technical skills in Python (pandas) and/or R; SQL and relational databases; data analysis concepts.
• Familiarity with Excel and Power BI, Tableau, or similar tools.

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 ML models, 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.

Skills

Analytical thinking

Communication skills

Teamwork

Education

Computer Science

Data Science

Analytics

Mathematics

Computer Engineering

Tools

Python

R

SQL

Excel

Power BI

Tableau

Job description

Feed Energy in the United States is offering an AI & Data Intern role within the IT team. You will gain hands-on experience collecting, cleaning, and analyzing data, building dashboards, and exploring AI techniques to support business decisions and efficiency.

Ideal candidates are pursuing STEM degrees, comfortable with Python or R, SQL, and data visualization tools, and eager to contribute to data governance and automation projects during a 10–12 week paid internship.