2026 Summer Internship - Data Science Analyst - Virtual at Freeport-McMoRan

Phoenix, Arizona, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Dec, 25

Salary

35.25

Posted On

19 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Problem-Solving, Communication, Collaboration, Machine Learning, Deep Learning, Statistical Methodologies, Cloud Technologies, Microsoft Office, SQL, Python, R, Research Skills, Organizational Skills, Attention to Detail, Initiative

Industry

Description

Why You Should Apply for This Internship At Freeport-McMoRan, we are committed to providing internship opportunities that recognize excellence and encourage safe production with a culture supported by our core values. You'll be part of a collaborative environment, gaining the skills and experience to set you on the path to a successful future. Our internship program is designed for full-time students currently enrolled at an accredited four-year university and recent graduates in North America. These are temporary full-time paid positions that usually run from May through August. Apply Today! This position is not eligible for Freeport-McMoRan immigration work visa sponsorship. Where You Will Work Freeport-McMoRan is a leading international metals company with global headquarters in Phoenix, Arizona. Several hundred employees support our operations in accounting and finance, human resources, health and safety, information technology, planning, engineering, and more. Our virtual internship program allows interns to work virtually as well as come together in person when needed at our Collaboration Hub in Phoenix and/or one of our site locations. Interns can work remotely from most states in the U.S., with the exception of California, Connecticut, Illinois, Kansas, Kentucky, Massachusetts, Michigan, New Hampshire, New York, North Carolina, Oklahoma and South Carolina. Additional states may be excluded from virtual work based on business factors. 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 What We Offer: The estimated pay range for this role is currently $28.25 - $35.25/hour. Individual pay rates will be based on level of education and relevant experience. Hands-on experience in a dynamic and innovative environment. Opportunity to work on meaningful projects and initiatives that drive impact across the organization. Exposure to various aspects of business operations across our North America sites. Ability to develop and enhance technical and analytical skills. Mentorship and professional development opportunities. What We Require: Ability to understand, apply and communicate verbal and written work and safety-related instructions, procedures, job assignments and applicable safety standards in English. Must be able to multi-task, work under pressure, and meet time-sensitive deadlines. Freeport-McMoRan promotes a drug/alcohol free work environment through the use of mandatory pre-employment drug testing and on-going random drug testing as per applicable state laws. Equal Opportunity Employer Please be advised Freeport-McMoRan will never request payment for job-related expenses from applicants. If you receive any suspicious emails, please disregard them, and report the incident to HRSC@fmi.com.

Responsibilities

Assist with the deployment of machine learning methods and advanced optimization techniques to address complex challenges in mining. Support the build and maintenance of analytical assets to solve business problems using statistical methodologies.