Assignment type: Internship
Start date: September 2026
Assignment duration: 6 months
Location: Veghel
Education level: Bachelor / Master
Desired study: Data science, Computer Science, Information Technology, Artificial Intelligence
Language: Dutch / English
Description of assignmentVanderlande systems generate large volumes of data across monitoring platforms, install base reports, site configurations, equipment performance logs and user activity. In theory, this data should provide clear insights into system health, operational performance, and service opportunities. In practice, however, much of this information remains fragmented across different tools and datasets, requiring engineers and service managers to manually interpret signals.
Because these systems evolved separately, valuable relationships between datasets often remain hidden. Extracting meaningful insights therefore requires significant manual effort and domain expertise.
As a result, decision-making is often reactive. Service teams spend time identifying root causes instead of acting on early signals, product teams lack clear feedback from the field, and customers receive insights later than necessary.
Advances in Agentic AI and modern data analysis techniques offer the opportunity to automatically identify patterns across datasets and generate actionable insights for different user groups such as service engineers, operations managers, and product teams.
Research Question
How can (Agentic) AI techniques be used to identify meaningful patterns across Vanderlande’s monitoring, install base, site, equipment, and user data to automatically generate actionable, role-specific insights?
The Digital Services department develops data-driven solutions that improve the performance, availability and lifecycle value of Vanderlande’s automated logistics systems. The department designs, builds and operates scalable digital services that connect equipment, sites and operational data to cloud platforms for monitoring, analytics and optimization.
Working closely with engineering, service and product management teams, the department delivers capabilities such as predictive maintenance, operational insights, remote monitoring and AI-driven decision support. With multidisciplinary teams of software engineers, data scientists and domain experts, the department focuses on turning operational data from warehouses into actionable insights that reduce downtime, increase throughput and improve service efficiency.
Tasks/responsibilities- Data exploration: Analyze available datasets and understand their structure, relationships, and quality.
- Technology research: Investigate AI techniques for pattern discovery, anomaly detection, and Agentic AI.
- Pattern discovery: Identify correlations that can provide operational or service insights.
- Prototype development: Build a small proof-of-concept to demonstrate AI-generated insights.
- Evaluation: Assess feasibility, value, and potential integration into Vanderlande’s digital services.
- Experience with Python, Java, Azure, or similar tools.
- Understanding pattern detection, clustering, anomaly detection.
- You are curious and enjoy experimenting to uncover hidden patterns.
- You are proactive.
- You can clearly document results and explain insights to both technical and non-technical audiences.
- *Mandatory enrolment to a Dutch Education System & resident of The Netherlands
Do you recognize yourself in this challenging profile? Are you looking for an internship in our organization? Please fill out the application form and upload your resume and cover letter. For more information, contact us by e-mail: [email protected].
Top Skills
What We Do
Vanderlande is the global market leader for future-proof logistic process automation at airports. The company is also a leading supplier of process automation solutions for warehouses and in the parcel market. Vanderlande’s baggage handling systems are capable of moving over 4 billion pieces of baggage around the world per year. Its systems are active in more than 600 airports including 12 of the world’s top 20. More than 52 million parcels are sorted by its systems every day, which have been installed for the world’s leading parcel companies. In addition, many of the largest global e-commerce players and retailers have confidence in Vanderlande’s efficient and reliable solutions. The company focuses on the optimisation of its customers’ business processes and competitive positions. Through close cooperation, it strives for the improvement of their operational activities and the expansion of their logistical achievements. Vanderlande’s extensive portfolio of integrated solutions – innovative systems, intelligent software and life-cycle services – results in the realisation of fast, reliable and efficient automation technology. Established in 1949, Vanderlande has more than 7,500 employees, all committed to moving its customers’ businesses forward at diverse locations on every continent. With a consistently increasing turnover of 1.8 billion euros, it has established a global reputation over the past seven decades as a highly reliable partner for future-proof logistic process automation. Vanderlande was acquired in 2017 by Toyota Industries Corporation, which will help it to continue its sustainable profitable growth. The two companies have a strong strategic match, and the synergies include cross-selling, product innovations, and research and development.
