Bachelor Internship:Behavioral Segmentation for a Connected Trucking Company

Data-Driven Analysis of Truck Usage Patterns and Digital Service Adoption to Enhance Customer Targeting and Product Development.

The intern will work on designing and developing behavioral customer segmentations based on real-world truck and customer data. This project will directly contribute to better product targeting, improved service design, and more effective sales and marketing strategies.

Objective

Create a data-driven segmentation model that identifies distinct customer groups based on:

• Truck usage patterns (e.g., driving hours, idling, routes, fuel consumption)
• Digital service adoption (e.g., which in-truck software services are used, frequency, engagement levels)
• Customer profile attributes (e.g., fleet size, industry, location)
• Operational behavior (e.g., maintenance habits, uptime performance)

The outcome should help the company tailor offerings, suggest new service bundles, and optimize customer interactions.

Key Responsibilities,The intern will:

1. Explore and analyze datasets

2. Clean and preprocess truck telemetry data

3. Examine customer information (fleet size, geography, industry)

4. Understand how various digital services are used

5. Define segmentation variables

6. Identify the most relevant behavioral indicators

7. Select KPIs that meaningfully differentiate customer groups

8. Build segmentation models

9. Apply clustering methods (e.g., k-means, hierarchical clustering)

10. Evaluate and compare segmentation outputs

11. Visualize and interpret emerging customer segments

12. Create actionable segment descriptions

13. Profile each segment (e.g., "High-Tech Power Users", "Fuel-Efficiency Seekers")

14. Highlight business implications

15. Suggest opportunities for product, marketing, and sales teams

16. Present insights to stakeholders

17. Prepare a concise presentation of findings

18. Explain methodology, results, and recommendations

19. Provide a roadmap for future data-driven segmentation improvements

20. A view behind the scenes at a large international corporation; You will get a lot of freedom and responsibility;

21. We are open to your initiatives and depending on the assignment you see your results back in the workplace;
22. An experienced coach and supervisor who can teach you a lot and is willing to help you with your assignment;
23. After your graduation, you will have the opportunity to start your career at DAF;
24. An internship wage of € 375,- Bachelor and € 450,- Master per month on full-time base;
25. A travel allowance, if you don't have a student travel product (provided by the Dutch government);
26. A housing allowance, if you temporarily rent a room near DAF.

Each intern will have the opportunity to participate at the Student Event. During this event you will meet other interns and find out more about DAF/PACCAR

Would you like to know more about the experiences of other students? Here you can read stories of our former interns.

We are a leading trucking company with a strong focus on in-truck software solutions. Our platform delivers a wide range of digital services directly from the truck such as telematics insights, driver support, predictive maintenance data, and fleet performance tools. With an expanding global customer base, understanding how different customers use their trucks and digital services is crucial for improving our offerings.

• Academic background in data science, business analytics, marketing analytics, or similar
• Strong skills in data analysis (Python/R/SQL preferred but not mandatory)
• Basic understanding of segmentation principles and customer behavior analysis
• Interest in mobility, logistics, connected vehicles, or digital services
• Ability to translate data findings into practical business recommendations

Deliverables

• Segmentation model (in code or documented methodology)
• Segment profiles with clear names, characteristics, and business value
• Dashboard or visual report showing segmentation insights
• Final presentation for internal stakeholders

Learning Outcomes

By completing this internship, students will learn how to:

• Turn raw operational data into meaningful business insights
• Apply analytical techniques to real connected-vehicle data
• Understand customer behavior in a digital trucking ecosystem
• Communicate complex data findings to non-technical teams
• Influence product and commercial strategy with data-driven evidence

Please upload your resume and motivation below. For more information you can contact Campus Recruitment on the phone number