Graduate Intern

Work mode:

Onsite Location(s):

Kerkrade, NL

Additional Locations: N/A

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.

ROLE OVERVIEW

This graduate assignment will support Project Constellation in designing a more efficient, data-driven warehouse operating model. The student will analyze inventory placement, material flow, picking patterns, replenishment, and space utilization to identify opportunities to improve warehouse productivity and service levels. The work will help establish a fact-based blueprint for warehouse design and operating decisions that can be tested, refined, and scaled.

KEY RESPONSIBILITIES

Capture and structure inventory, item, order, and warehouse-location attributes required for analysis.
Map current warehouse layouts and flows, including pallet areas, flow racks, static racks, inbound movement, replenishment paths, and picking routes.
Assess the three-level picking model: conveyor picking, overflow picking, and pallet/case picking.
Analyze bin-slotting opportunities using order frequency, item velocity, location rating, and travel distance.
Evaluate product affinity and package-deal relationships to determine which products should be stored or handled together.
Assess replenishment strategies, pick-frequency heat maps, space utilization, and end-to-end warehouse flow efficiency.
Quantify operational impact using measures such as pick productivity, travel time, accuracy, inventory turns, and service performance.

EXPECTED DELIVERABLES & OUTCOMES

Current-state warehouse analysis	A documented view of inventory placement, layout, flows, picking patterns, and key constraints.
Optimization model and recommendations	A data-driven approach for bin slotting, picking strategy, replenishment, and product placement.
Future-state warehouse concept	Recommended layout and operating principles designed to improve productivity, flow, accuracy, and service.
Impact assessment	A quantified view of expected operational benefits and the measures that should be tracked during pilot or implementation.

WHY THIS ASSIGNMENT

Warehouse performance is a foundational element of reliable order fulfillment. This assignment gives the student an opportunity to apply analytics, operations research, and process-design thinking to a real-world supply chain challenge. The output will help Project Constellation identify practical improvements that reduce unnecessary movement, improve inventory accessibility, strengthen accuracy, and create a repeatable approach that can support broader warehouse optimization efforts.

Requisition ID: 634972

Boston Scientific transforms lives through innovative medical technologies that improve the health of patients around the world. As a global medical technology leader for more than 45 years, we advance science for life by providing a broad range of high-performance solutions that address unmet patient needs and reduce the cost of healthcare. Our portfolio of devices and therapies helps physicians diagnose and treat complex cardiovascular, respiratory, digestive, oncological, neurological and urological diseases and conditions. Learn more at www.bostonscientific.com and follow us on LinkedIn.