Title:  2026 Summer Internship - Data Science Analyst - Virtual

What You Will Do

Under general supervision, performs MIS related duties assigned per department. As such responsibilities are carried out; unscheduled and scheduled overtime may be required. Also may be required to work outside of normal working hours. You will be an instrumental member of our vision for analytics-driven mining at Freeport. We have gathered vast data sets from across the mining ecosystem by deploying sensor technology and the data infrastructure to support it. Now, we are in a position to use the richest data pool in our history to solve complex and meaningful problems, so our team is growing and seeking bright individuals eager to be a part of the journey 

• Assist with the deployment of ensemble machine learning methods, deep learning, and advanced optimization techniques to drill into our toughest challenges 
• Leverage sharp research skills to test hypotheses and draw insights to support our goal of industry-leading, resource-efficient copper mining 
• Actively support the build, implementation, and maintenance of practical, analytical assets that effectively solve business problems using statistical methodologies 
• Utilize modern cloud technologies, such as Microsoft Azure, to deliver innovative analytics solutions at scale and visualize their impact for leadership 

What You Bring To Freeport

• Currently enrolled full-time (at the sophomore level or above) at an accredited four-year university pursuing a degree, bachelor’s or higher, in an appropriate MIS, Computer Technology, Analytics or closely related field; OR 
• Recent graduate (having graduated within 12 months prior to internship start date) with a degree, bachelor’s or higher, in MIS, Computer Technology, Analytics or closely related field. 
• Proficient in the use of Microsoft Office applications including Outlook, Word, Excel, and PowerPoint. 
• Possesses strong data analysis and problem-solving skills. 
• Highly accurate and detail oriented. 
• Possesses strong oral and written communication skills. 
• Demonstrates initiative, organizational skills and ability to work well under pressure. 
• Demonstrates ability to collaborate and work effectively in a team environment. 
• Must be able to demonstrate our core values of Safety, Respect, Integrity, Excellence and Commitment. 

Preferred Qualifications

• Analytics student who enjoys grappling with vast data sets (and has experience with SQL), tapped from our long-standing investment in collecting and cleaning data 
• Quantitative enthusiast who can build complex predictive models and unlock their value through Python, R and / or other rigorous analytical environments 
• Researcher with a background in breaking down problem statements into their root causes and tailoring solutions based off of your findings