MIT LGO Analytics Co-Op

Verizon • Boston, MA

2d • Hybrid

About The Position

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. From internships and co-ops to leadership development programs and entry-level roles, becoming part of Verizon’s award-winning Campus program is a great step toward shaping your future. Join a program that’s been recognized with awards such as WayUp’s Top 100 Internship Programs, and RippleMatch’s Campus Forward Award. Why the accolades? It’s easy: we immerse you in meaningful experiences and projects that deliver tangible business impact. Working with us, you’ll have the opportunity to network with V Teamers across the globe, find mentors, and establish meaningful relationships to last a lifetime. When you join the V Team, our network becomes even stronger. #vteamlife This internship with Verizon’s VGS Hub Analytics team focuses on resolving complex supply chain inefficiencies driven by uncertain project timelines, material requirements, and supplier lead times. As the right candidate, you will leverage a strong mathematical toolkit and Python proficiency to develop AI/ML and optimization models—specifically Multi-Echelon Inventory Optimization—to streamline a four-stage distribution network. By modeling the flow of materials from suppliers to network build sites, you will aim to reduce inventory costs by hundreds of millions of dollars while improving service levels. This role offers hands-on experience in Fortune 30 operations, SAP integration, and large-scale capacity analytics within a high-noise, real-world environment.

Requirements

• Current enrollment in a MBA or Master's degree program in Operations or directly related area (i.e. Logistics, Supply Chain, Strategic Management, Data Science, Engineering) or equivalent major with an expected completion date between December 2026 and June 2027.
• This co-op position is limited to students enrolled at Massachusetts Institute of Technology (MIT) Sloan School of Management (MIT) who are currently enrolled in the MIT Leaders for Global Operations (LGO) Program.

Nice To Haves

• Previous internship or work experience in one or more of the following: Logistics, Operations Management, Industrial Engineering, Systems Engineering, Aerospace Engineering, Analytics & Data Science, or Manufacturing.
• Experience in analytics, finance and budgeting.
• Demonstrated independent thinking, relationship management and attention to detail.
• Demonstrated strong analytical, communication, leadership and presentation skills.
• Demonstrated ability to work collaboratively in a fast-moving, team environment.

Responsibilities

• Develop AI/ML and optimization models—specifically Multi-Echelon Inventory Optimization—to streamline a four-stage distribution network.
• Model the flow of materials from suppliers to network build sites
• Reduce inventory costs by hundreds of millions of dollars while improving service levels.

Benefits

• In addition to building your skills and experiences, you will be eligible to participate in our robust 401(k) Savings Plan which provides a dollar-for-dollar company match on the first 6% of your contributions as a percentage of your eligible pay.
• You will also be eligible for holiday pay, as applicable.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Number of Employees: 5,001-10,000 employees