Graduation Research: Customer Behavior & Growth Models

At TransConnect, we make vehicle transport simple: fast, transparent and hassle-free. Through our digital platform, we connect carriers, customers and logistics processes across Europe.

As a tech-driven company, we are growing rapidly and are ready to take the next step in marketing and sales by moving from intuition-based decisions to data-driven strategies. To achieve this, we need smart insights, robust models and a strong bridge between business and data. You will help us build that bridge.

Your role and impact:

As a graduate intern in our data-driven marketing team, you will help TransConnect better understand customer behavior and identify growth opportunities. Your analyses and models wiull lay the foundation for more targeted marketing and sales decisions.

The exact research question will be defined together with you and, if desired, with your university supervisor so that it aligns with your academic requirements. For Example:
"How can predictive and/or segmentation models be used to quantify and prioritize the growth potential of customer groups and markets?"

Within this scope, you will:

Explore and structure data 

• Analyze customer and order data to uncover behavioral patterns, segmentations, customer types and cohorts;

• Examine relevant competitor and market data.

Select and evaluate models 

• Identify which models are suitable for TransConnect (for example purchase-behavior models, segmentation models, predictive models or combinations of these).

• Describe and compare the assumptions, prerequisites and limitations of different modeling approaches.

Build and validate models 

• Develop and test a model that measures growth potential or predicts which customer groups are most likely to succeed in the future.

• Validate and evaluate model performance using appropriate statistical or machine learning metrics.

Translate insights into practice 

• Formulate actionable recommendations for marketing and sales.

• Contribute ideas on how the models can be implemented in day-to-day operations.

• Create insights into which customer groups should be prioritized and why.

• Identify which customer groups are the most loyal.

• Provide insight into our brand penetration and propose suitable commercial initiatives.

• Map out potential investment directions and next steps. 

Documentation and handover

• Develop a notebook or script and a proof of concept within our toolstack.

• Produce a clear report that is suitable for both management and your academic program and present your recommendations.

What you bring:

You are a university student (Bachelor or Master) in a field such as:

• Business Analytics

• Econometrics

• Data Science

• Marketing Analytics

• Industrial Engineering and Management

• A similar program with a quantitative and/or analytical focus

• are skilled in Python (preferred) and/or R and ideally have experience with an environment such as Databricks or a comparable data and analytics platform;

   

• have demonstrable analytical ability and experience with mathematical or statistical models and larger datasets;

   

• are able to clearly translate insights into business terms;

   

• are not just an executor but someone who builds the bridge between technology and business, asks the right questions and thinks along about implementation and impact;

   

• have strong communication skills: you can present results to marketing and sales and contribute ideas about practical applications.

What we offer:

• A graduation internship for a university-level (WO) student, 32 to 40 hours per week, located in Zwolle (next to the train station);
• Freedom to carry out and shape your research in your own way;
• A workplace with a lot of energy, fun, and engaged colleagues;
• Direct, visible impact within a fast-growing scale-up;
• A monthly internship allowance of €400.
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Interested? Here’s how to apply!

Do you see yourself in this role at TransConnect, an innovative and fast-growing European player in vehicle transport? Apply easily via the application form. You will receive a response from us within three working