Knowledge of the Dutch language not required

Working in the office on Monday and Thursday

Candidate has to live in the Netherlands

No ZZP

Medior Data Scientist

Are you passionate about bringing innovative, cutting-edge analytical solutions to production? Do you thrive in a collaborative, fast-paced environment where you can shape the future of Graph-driven products?

Good! Then read on...

You and your job

As a Medior Data Scientist Graph Analytics, you can have social impact by detecting criminal behavior and simplifying business processes using graph analytics patterns by analyzing Rabobank transactions of 8+ million customers.

You will work in a team focused on enriching the enterprise knowledge graph (Neo4j) using entity matching. The team is responsible for entity matching across a range of use cases, developing and refining models to accurately identify and link related entities.

The role spans the full ML lifecycle, with responsibilities including experimentation, model improvement, preparing code for production, and designing effective release strategies, combining hands-on development with strategic planning to ensure robust and scalable integration of machine learning solutions into the bank's data ecosystem.

Practical examples

- Improve the performance of Entity Matching iteratively using ideation, explorative analysis, feature development and productising the solution.

- Write high quality code to extend the Enterprise Knowledge Graph with entity matches.

- Build responsible and cost effective Graph solutions for millions of customers.

- Create re-usable building blocks, which can be used all over the bank.

- Collaborate with team members to solve critical or complex problems.

Facts & figures

- 36 hours a week.

- Mostly greenfield, little legacy.

- 43,822 Rabobank colleagues around the world.

Top responsibilities

- Explore, build, test, deploy and run high quality and highly scalable Graph solutions.

- Contribute to the continuous improvement of Graph solutions.

- Join-forces with your peers, experts and stakeholders to provide business value to Rabobank customers.

Together we achieve more than alone

We believe that bringing together people's differences is what makes us an even better bank. Talking of Rabobank: We are a Dutch bank that operates in 38 countries for over 9,500,000 customers. Together with these customers, our members and partners we stand side by side to create a world in which everyone has access to enough healthy food. In the Netherlands we work to create a country in which people are happy with how they live, work and do business.

Within Rabobank, Enterprise Analytical Products is an ambitious department that aims to mix in a healthy dose of experience, innovation and creativity to develop innovative products and services. We focus on fast learning, delivering value quickly and being more effective. As a team, you work on clear goals and continuously see the results of your (team) efforts.

You and your talent

- You have a Master degree in Data Science of a related field

- You have at least 2 or more years of experience working as a Data Scientist or in a similar field.

- You have strong Python programming skills.

- You have hands-on experience with Databricks.

- You are skilled in Git and CI/CD pipeline development.

- You are familiar with the end-to-end ML lifecycle, from experimentation and model evaluation to productionization and release planning.

- You have experience with cloud platforms, preferably Azure.

- You have solid understanding of data engineering principles

- You have a passion for building and bringing to production clean, well-structured, maintainable and testable solutions.

- You communicate well in the English language (both spoken and written).

- Knowledge of Graph databases, particularly Neo4j, and understanding of graph-based modeling is a plus.

- Experience with entity matching or record linkage techniques is a plus

Salarisschaal: FDS09RG000RG