As a Medior Data Scientist / Senior Machine Learning Engineer, you will work on developing, maintaining, optimizing data pipelines and machine learning models. These are used to support various stages of the client lifecycle of business clients. Where you can think of models to support client retention (churn models), combining internal and external data sources to do client benchmarking and predicting next products to buy. We are looking for a Data Scientist and a Machine Learning Engineer 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.

Top responsibilities:

• Develop, maintain and optimize machine learning models in practice
• Refactor existing code, improve model performance, and streamline pipelines for efficiency
• 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 an end-to-end Data Science 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

Harde eisen:

• 4 jaar werkervaring als Medior Data Scientist of Machine Learning Engineer, kandidaten zonder deze ervaring worden afgewezen!
• Spypark en Databricks zijn harde skills

Opleidingseisen:

• Bij voorkeur Master, maar in het buitenland zien we dat een Bachelor vaak alleen van toepassing is

Overige eisen:

• Voor de Senior Machine Learning Engineer: minstens 6 jaar ervaring als Machine Learning Engineer of in een vergelijkbare rol.
• Expertise in statistische modellering en machine learning, met name praktische ervaring met tree-based en clustering modellen.
• Ervaring in model deployment, performance tuning, en monitoring met MLOps/DevOps.
• Hands-on persoon die graag tijd besteedt aan het schrijven van productieklare code (Python, PySpark).
• Voor de Senior Machine Learning Engineer: ervaring met het verbeteren van code en het optimaliseren van pipelines.
• Vaardig in Git en CI/CD pipeline ontwikkeling.
• Ervaring met ETL processen, datalijnen, databases en data lakes.
• Goede communicatie in het Engels (zowel mondeling als schriftelijk).

Wensen

• Ervaring met cloud platforms, bij voorkeur Azure.
• Basiskennis van bankzaken (optioneel, nice to have).
• Ervaring met Kedro (optioneel, nice to have).

Competenties

• Nieuwsgierig naar het combineren van complexe datasets en bereid tijd te besteden aan het begrijpen, combineren en valideren van data om zinvolle resultaten te garanderen.
• Nieuwsgierig van aard en ervaren in samenwerking met interne stakeholders.

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 9,5000,000 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.

Optie tot verlenging: Niets over bekend.

Hybride: Vaste kantoordag elke donderdag en 1x in de 2 weken op woensdag

Aantal professionals of FTE: 2 personen

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