Maintenance and Supply Chain Intern

CITGO PETROLEUM CORPORATION

CITGO Petroleum Corporation is a recognized leader in the refining industry and operates under the well‑known CITGO brand. CITGO owns and operates three refineries located in Lake Charles, LA.;
Lemont, IL.; and Corpus Christi, TX, and wholly and/or jointly owns 38 active terminals, six pipelines and three lubricants blending and packaging plants. With approximately 3,300 employees and a combined crude capacity of approximately 807,000 barrels‑per‑day (bpd), positions CITGO as one of the best‑branded supplier companies in the industry.

At CITGO our people are our most important resource. Our core values are Safety, Integrity, Respect, Accountability, and Care.

We are seeking curious, driven, and high‑potential students to join our Maintenance & Supply Chain Optimization team. You will work alongside industry experts to solve real business challenges across refinery operations, maintenance, procurement, supply chain, and digital transformation initiatives. You will help convert complex business problems into structured solutions using analytics, process improvement, and AI‑enabled capabilities. Interns will contribute to high‑impact projects involving operational performance, cost optimization, workflow automation, knowledge management, and next‑generation AI‑assisted solutions.

This role is ideal for students who enjoy learning quickly, thinking critically, working with emerging technologies, and transforming ideas into measurable business outcomes.

Please note:

This is NOT a remote position. It will be located at our Corporate Headquarters in Houston, Texas.

• High School diploma required.
• Bachelor's (sophomore, junior and senior), in Applied Mathematics, Data Science, Statistics, or Operations Research. Master’s degree preferred.
• Experience using at least one AI platform (e.g., ChatGPT, Claude, Microsoft Copilot, Gemini, or similar) to support learning, analysis, project work, or problem‑solving. Candidates should be able to describe how they used AI, what worked well, and how they validated results.
• Familiarity with machine learning, regression analysis, simulation, and optimization models.
• Proficiency with SQL, Python, Excel, and Power BI.
• Strong analytical, problem‑solving, and communication skills.
• Energetic, organized, and eager to learn independently and in teams.

• Work on AI‑assisted business solutions, workflows, skills, and automation opportunities.
• Support process improvement initiatives that drive efficiency, reliability, and cost optimization.
• Help transform business knowledge into reusable tools, workflows, and digital capabilities.
• Collaborate with business leaders, engineers, analysts, and technology teams.
• Present findings and recommendations to stakeholders.
• Learn how modern organizations combine Human expertise + AI capabilities to accelerate outcomes.

Job duties displayed above are not all-inclusive; site‑specific responsibilities may be assigned.

• Remote Work options available for eligible positions.
• Options are department and/or location specific.
• 9/80 Work Schedule Option (where applicable).
• Annual Vacation Incentive (40-120 hours of additional pay) for Eligible Employees.
• Paid Vacation Time.
• Company‑Paid Holidays.
• Caregiver Leave.
• Excellent 401(k) Match.
• Pension Plan.
• Performance Incentive.
• Company‑Paid Sick Leave and Long‑Term Disability.
• Medical, Dental, & Vision Plans; FSA and HSA options.
• Company‑Paid Life Insurance for Active Employees.
• Healthy Rewards Program.
• Service Awards Program.
• Educational Assistance Plan.
• Dependent Children Scholarships.
• Reimbursement for Gym Membership.
• Employee Discount Programs.
• On‑site Health Clinic (select locations).
• On‑site Cafeteria (select locations).
• On‑site Credit Union and ATM (Corporate office only).
• On‑site Fitness Center (select locations).

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

Requisition  - 1941