Data Science Internship - Summer 2026

rms Company•Coon Rapids, MN

1d•Onsite

About The Position

Cretex Medical is a family of companies that provides manufacturing and engineering services to medical device OEMs, offering a complete range of end-to-end manufacturing capabilities, the latest technologies, and the talent to match any manufacturing or engineering challenge. The Data Analyst Intern will research and use data to help business partners solve problems and make better business decisions, such as optimizing profit, reducing expenses, and providing clear real-time financial health insights. The analyst will assess Cretex’s information and data, extract and normalize it, and use visualization (charts, graphs, tables, and graphics) to explain what the data mean across specific amounts of time or various departments/companies. The analyst will help the organization reach simpler, smarter conclusions and use their technical expertise to stress test the data for quality, accuracy, and completeness. This position will be located in Coon Rapids, MN, and requires 40 hours/week of on-site work.

Requirements

High School Diploma or equivalent
Currently enrolled pursuing your degree or program in an Information Technical, Business, or Technical field
Familiar with SQL and have experience regarding data models, database design development, and data mining
Strong in Microsoft Excel or Google Sheets, with experience creating and using pivot tables, and charts/graphs
Passionate for analytics and/or data science
Ability to learn quickly and high attention to detail
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Coursework or practical experience with statistical methods and calculation
Adept at queries, report writing and presenting findings
Microsoft Office proficiency (Outlook, Word, Excel, PowerPoint, Teams)
Excellent communication skills and enjoy working cross-functionally
Ability to work in a fast-paced team environment
Ability to prioritize and multitask

Nice To Haves

Microsoft PowerBI Experience
Familiar with Python

Responsibilities

Own the delivery of analytic projects, ensuring that projects are delivered on-time, within the scope
Communicate with stakeholders to understand data content and business requirements
Support the application of machine learning models to manufacturing datasets to identify process inefficiencies or predictive maintenance opportunities
Assist in evaluating and training AI/ML algorithms for anomaly detection, forecasting, and quality control
Collaborate with cross-functional teams to design data science use cases that drive automation and smarter decision-making in manufacturing operations
Research and prototype AI/ML tools or techniques that can be applied to production, logistics, or supply chain data
Apply statistical and predictive modeling methods to support continuous improvement initiatives
Leverage natural language processing (NLP) or AI-powered reporting tools to automate data insights delivery where applicable
Identify sources of input data and acquire them
Use data mining to extract information from data sets and identify correlations and patterns
Develop strategies to collect information (as needed)
Monitor data quality and remove corrupt or duplicate data
Use tools and techniques to visualize data in easy-to-understand formats, such as diagrams, graphs, and dashboards
Prepare reports and present to stakeholders
Identify, analyze, and interpret trends or patterns in data sets
Participate in the Operational Excellence / Value Improvement Program
Complete all other work duties as assigned
Ability to work in a manufacturing environment