Intern - Data Science, Electric Distribution

Overview

Position Title: Intern - Data Science, Electric Distribution

Location: Sioux City, IA, United States

Description:
Mid American Energy Company is seeking students pursuing a bachelor's degree or higher in data analytics, computer science, management information systems, mathematics, or related field of study, graduating later than August 2026. Data Science Interns will gain understanding of key drivers of business and engage with analytics framework/tools to create value from data. The position is temporary, nonexempt, and full-time/hourly through the summer.

Mid American Energy Company one of the largest renewable energy producers in the U.S is headquartered in Des Moines, Iowa, safely meeting the energy needs of more than 1.6 million customers in Iowa, Illinois, Nebraska, and South Dakota. A subsidiary of Berkshire Hathaway Energy, we have more than 3,400 dedicated employees serving our customers every day across our service territory.

Interns will have the opportunity to participate in the annual three-day summer intern event in Des Moines, Iowa where they will tour state-of-the-art facilities, network with leadership, and gain a broader understanding of Mid American Energy Company. Other panels, lunch and learns, and events will be happening throughout the summer to give our interns the best experience.

Primary Job Duties and Responsibilities

• Identify partner teams' key issues, prototype solutions, and help solve business problems using data science and cloud technology.
• Collaborate with internal business groups and domain experts to define problems, gather requirements, and design advanced analytics solutions.
• Collaborate with team members to design and develop advanced analytics projects.
• Perform data discovery, exploratory analysis, and data profiling activities using Python, SQL, and Power BI.
• Perform data wrangling in Python and SQL supporting advanced analytics projects.
• Develop advanced analytics models (statistical, mathematical, or computational models) using Python to solve industry problems.
• Develop data visualizations and dashboards using Power BI to present advanced analytical model results as well as descriptive and exploratory analytics.
• Effectively communicate and present advanced analytics model results and project outcomes.
• Perform any additional responsibilities as requested or assigned.

• Connect EOMS system model to BHE data lake
• Develop vulnerability analytics model
• Connect vulnerability dashboard to the model and expand to present additional analytics
• Establish a process for yearly update of the model to capture physical infrastructure changes in the field
• Investigate reliability trends in outage data, and build additional dashboards that can be used for reliability reporting

• Perform responsibilities as directed within determined time frames and with a high degree of accuracy.
• Establish and maintain effective work relationships within the department and the company.
• Maintain the professional competence, knowledge and skills necessary to effectively complete responsibilities; enhance job knowledge and abilities by taking personal responsibility for professional development and training.
• Maintain sensitive and confidential company information.
• Attend work on a regular basis and support the company's employee policies and procedures, including workplace safety rules.
• Ensure all compliance aspects of position are known and followed; understand and comply with all policies, codes and regulations applicable to position and company.

Skills for Success

• Self-starter
• Effective oral and written communication skills.
• Effective analytical and problem-solving skills.
• Effective interpersonal skills and customer relationship skills.
• Ability to prioritize and handle multiple tasks and projects concurrently.
• Experience using Python to develop machine learning or statistical models.
• Experience using SQL to work with database tables and ETL processes.
• Experience using Power BI to create data visualizations.
• Taken coursework in data analytics, machine learning, statistics, or computational mathematics…