Data Quality Internship

You contribute to innovative data quality practices within the organization by integrating AI into operational processes. You accelerate and optimize the classification of data quality rules, minimizing manual work. You help establish a uniform, auditable standard and actively promote knowledge sharing around AI within the team.

This is where you are happy to apply your talents as a DQ Specialist at Van Lanschot Kempen. In this role, you are responsible for developing, training, and implementing a machine learning model that enables the automatic classification of existing Data Quality rules. You lead the process of structuring metadata, assembling a training dataset, and organizing cross-team validation, ensuring that the integration of AI results in significant efficiency improvements and reliable outcomes for the team responsible for the DQ framework.

In addition, you will be involved in:

• Contributing to the design and training of AI models using structured input

• Evaluating model behavior and performance and identifying opportunities for improvement

• Supporting the application of AI models to a broader set of data quality rules

• Preparing AI outputs in a way that enables efficient human review and decision-making

• Helping to process reviewer feedback into continuous model improvements

• Supporting clear documentation of the approach, process, and key results

Your talents

Analytical, innovative, and a true team player. That’s how we best describe you as a DQ Specialist. These are the talents you use to take our DQ framework to the next level of quality. You go the extra mile, ask sharp questions, and remain critically focused on detail and process. This proves highly valuable when handling (meta)data with care, solving complex classification challenges, and guiding change within the team.

In addition, you have:

• Experience with machine learning models

• Knowledge of SQL and data modeling

• Experience setting up data labeling and cross-validation workflows

• Hands-on experience with AI applications

• A strong command of the English language, both spoken and written

Move ahead at Van Lanschot Kempen

Together with a diverse range of clients, we work toward more future-focused, sustainable, and data-driven investing — both nationally and internationally. With nearly 300 years of experience, we turn this ambition into reality at Van Lanschot Kempen. We do this with around 2,300 colleagues across a wide range of areas of expertise.

The Data Management department is part of the Digital Advanced Analytics and Technology (DAAT) cluster. Within DAAT, we provide a best‑in‑class technology platform for asset management. Data Management consists of approximately 70 colleagues divided into eight teams, each with its own focus. Together, these teams are responsible for maintaining, improving, and testing the data warehouse (DWH) and data platforms. Roles within the department vary widely, ranging from Developer to Data Architect, and from Functional Application Manager to Product Owner.

The teams start the week together, often enjoying a traditional Brabant-style (vegan/vegetarian) worstenbroodje or Bossche Bol. In addition, we have a Fun Stuff team that organizes social drinks and other activities.

The level of innovation and agility of an organization is partly determined by the diversity of its workforce. Our differences strengthen one another. We actively promote an inclusive working environment in which all colleagues feel at home. With us, you are free to be yourself — and we are proud of that.

Curious about the stories of colleagues and how they experience working at Van Lanschot Kempen? Go to People & Projects and find out more! Or listen to our Podcast series to hear what our colleagues have to say. 

Not sure if you meet all the requirements? No worries! We encourage you to apply anyway. At Van Lanschot Kempen, we are always looking for people with diverse perspectives and experiences to strengthen our team.