1 FTE Voertaal: Engels Kennis van de Nederlandse taal is niet vereist. Kandidaten moeten wel in Nederland woonachtig zijn 1 à 2 dagen per week werken op kantoor, waarbij de donderdag een vaste kantoordag is. Geen ZZP
Are you passionate about developing, maintaining machine learning models? Do you thrive in a collaborative, fast-paced environment where you can shape the future of ML-driven products?

Good! Then read on...

You and your job
As a Medior Data Scientist, you'll work on developing, maintaining and improving machine learning models focused on the interest rate optimisation. You’ll be at the forefront of creating models that help solve complex challenges, streamline processes, and unlock new opportunities. We need someone who can dive deep into data, work with tree based and clustering models and create scalable and reliable solutions.

Facts & figures
- 36 hours a week.
- 43,822 Rabobank colleagues around the world.

Top responsibilities
- Develop, maintain and improve machine learning models in practice
- Combine and analyse data to create high end model input

- Work independently and as part of the model development team
- Provide written and verbal explanations on ideas, frameworks, models and implementations
- Engage with IT in a DevOps fashion to bring the models to production

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, Analytics Acceleration 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 at least 3 or more years of experience working as a Data Scientist or in a similar field
- You have expertise in statistical modeling and machine learning, especially practical experience with tree based and clustering models

- You have experience in model deployment, performance tuning, and monitoring leveraging MLOps/DevOps.
- Hands-on person who likes spending time on writing production ready code (Python, PySpark)
- Proficient with PySpark (and Databricks)
- You have experience with cloud platforms, preferably Azure.
- You are skilled in Git and CI/CD pipeline development.
- You have experience with ETL processes, data pipelines, databases (SQL), and data lakes
- Basic banking knowledge (optional, nice to have)
- Experience with transaction data (optional, nice to have)
- Experience with Kedro (optional, nice to have)
- You communicate well in the English language (both spoken and written).
- You are curious by heart and experienced in collaboration with customers.

Salarisschaal: FDS09RG000RG