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 will work on developing, maintaining, improving and implementing machine learning models. You will be at the forefront of creating models that help solve complex challenges, streamline processes, and unlock new opportunities.

We are looking for a Data Scientist with strong engineering capabilities, someone who can dive deep into data, work with machine learning models (especially tree based and clustering models) and take solutions from prototype to production. You will work across the full ML lifecycle, contributing to scalable, reliable, and responsible solutions with a hands-on programming on production ready code.

Facts & figures

- 36 hours a week.

- 43,822 Rabobank colleagues around the world.

Top responsibilities

- Develop, maintain, improve and implement machine learning models in practice

- Combine and analyse data to create high end model input

- Write production ready code to deploy a machine learning model

- 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 hold a Master’s degree in Computer Science, Data Science, Artificial Intelligence, Econometrics, Mathematics, Statistics, Engineering, or a related technical field.

- You have at least 4 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 and data lakes

- Basic banking knowledge (optional, nice to have)

- Experience with Kedro (optional, nice to have)

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

- You are curious by heart and experienced in collaboration with internal stakeholders

Salarisschaal: FDS09RG000RG