The Analytics & Machine Learning Student Intern will assist with data analysis, model development, and reporting while working with real-world datasets and analytics tools. The role offers hands-on experience across the analytics lifecycle and supports team projects in a collaborative environment.

Essential Functions

- Assist in collecting, cleaning, and preparing data for analysis and modeling

- Support development, testing, and evaluation of analytics and machine learning models

- Create basic reports, dashboards, and visualizations to communicate insights

- Analyze data to identify trends, patterns, and anomalies

- Document processes, methodologies, and results clearly

- Collaborate with team members on ongoing analytics and machine learning projects

- Learn and apply new tools, technologies, and best practices as needed

Other Functions

- Provide demonstration and presentation to stakeholders and executives

- Perform other relevant duties, as assigned.

Work Environment And Physical Demands

Business casual office setting

Required Knowledge, Skills, And Abilities

- Basic understanding of data analytics, machine learning concepts, and data structures; familiarity with databases and data visualization; introductory knowledge of statistics and predictive modeling.

- Ability to analyze and interpret data; use spreadsheets and analytics tools; basic programming skills (e.g., Python or SQL); create clear reports and visualizations; effective written and verbal communication.

- Willingness to learn new technologies quickly; strong attention to detail; ability to manage time and tasks effectively; capacity to work independently and collaboratively in a team environment.

Minimum Education, Experience Requirements

- 2+ years completed coursework towards an undergraduate program in Data Analytics, Computer Science, Business Analytics, Statistics, Information Systems, Engineering, or a related discipline

- Coursework or academic projects involving data analysis, statistics, or machine learning

- Basic experience with analytics tools, programming, or data visualization through coursework, internships, or personal projects

- Strong interest in analytics, data science, and machine learning concepts