Internship Designing AI Techniques for Discovering Patterns in Operational System Data

Job Title

Job Description

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 assignment

Vanderlande systems generate large volumes of data across monitoring platforms install base reports site configurations equipment performance logs and user theory this data should provide clear insights into system health operational performance and service 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 toidentifymeaningful patterns across Vanderlandes monitoring install base site equipment and user data to automatically generate actionable role-specific insights

Department description

The Digital Services department develops data-driven solutions that improve the performanceavailabilityand lifecycle value of Vanderlandes automatedlogisticssystems. The department designsbuildsandoperatesscalable digital services that connect equipmentsitesand operational data to cloud platforms for monitoringanalyticsand optimization.

Working closely with engineering service and product management teams the department delivers capabilities such as predictive maintenance operational insights remotemonitoringand 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 increasethroughputand improve service efficiency.

Tasks/responsibilities

Expected Activities:

• 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 Vanderlandes digital services.

Your profile

• 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

Contact

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: