AI & Data Intern

Feed Energy Company; Pleasant Hill, Northern (IA, KY); Hybrid; USD 28,000 - 40,000; Full time

Benefits offered by this job

Paid internship

Mentorship from IT/data teams

Job summary

Feed Energy Company is seeking an AI & Data Intern to join the IT team for hands-on data work and emerging AI projects. You will support data collection, cleaning, dashboards, and analytics, with opportunities to contribute to internal AI initiatives and data‑driven decision making.

The role emphasizes learning, collaboration, and applying data insights in a real-world environment, with mentorship from IT and data professionals and a paid internship during a 10–12 week term.

Qualifications

• Pursuing a degree or recent graduate in Computer Science, Data Science, Analytics, Mathematics, or Computer Engineering.
• Proficiency in Python (including pandas) and/or R.
• SQL with joins, aggregations, and data transformations.
• Familiarity with Excel and BI tools like Power BI or Tableau.
• Strong analytical, problem-solving, and teamwork abilities.

Responsibilities

• Collect, clean, and organize structured and unstructured data from multiple sources.
• Support dashboards, reports, and visualizations development and maintenance.
• Work with IT and business teams to identify data analysis and automation opportunities.
• Assist with AI-focused initiatives (ML concepts, predictive analytics, AI validation).
• Document data pipelines and workflows; conduct exploratory data analysis to derive insights.

Skills

Python/pandas

SQL

Data analysis concepts

Communication & teamwork

Problem solving

Education

Degree programs: Computer Science, Data Science, Analytics, Mathematics, Computer Engineering

Tools

Excel

Power BI

Tableau

Job description

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