Intern, Data Scientist (Summer 2026)

Martin Marietta • Raleigh, NC

95d

About The Position

As a member of the SP 500 Index, Martin Marietta is an American-based company and a leading supplier of building materials - including aggregates, cement, ready mixed concrete, and asphalt. Through a network of operations spanning 28 states, Canada and the Bahamas, dedicated Martin Marietta teams supply the resources necessary for building the solid foundations on which our communities thrive. At Martin Marietta, we are always looking for the best and the brightest, for people who have the potential to be the Company's future leaders. We are building on our foundation of success by selecting the finest people and helping them realize their potential. When you decide to build your career at Martin Marietta, you'll know what it's like to be respected, challenged, and rewarded. As a Data Scientist (Intern), you will be a team member on the Business Intelligence and Analytics team responsible for the development, maintenance, and support of advanced analytical, data science, and machine learning solutions.

Requirements

• Currently pursuing a Bachelor's or Master's of Science degree in Mathematics, Statistics, Data Science, or other quantitative fields
• Proficiency in Python and its data science libraries and Jupyter notebook development
• Ability to work collaboratively in a team environment
• Experience with any of the following BI/visualization tools: Alteryx, PowerBI, Tableau
• Experience using AWS, Snowflake, and cloud-native tools
• Effective verbal, written, and interpersonal communication

Responsibilities

• Assist in developing recommendations for AI/ML use cases or proofs of concept designs
• Conduct data exploration, extraction, cleansing, standardization, and wrangling to identify trends and correlations
• Support and maintain existing BI and ETL solutions, validation processes, and visualizations

What This Job Offers

• Career Level: Intern
• Industry: Mining (except Oil and Gas)
• Education Level: Bachelor's degree