NIET GESCHIKT VOOR ZZP!

Sd: Zsm
Ed: 6 maanden (betreft vervanging)
Uren: 36 uur
Standplaats: Utrecht Croeselaan
Hybride: Vaste kantoordag elke donderdag en 1x in de 2 weken op woensdag
Voertaal: Engels zowel mondeling als in geschrift

Harde eis:
- 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

Medior Data Scientist / Senior Machine Learning Engineer
Are you passionate about developing, implementing and 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 / 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

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.

You and your talent
• For the Medior Data Scientist: you have at least 4 years of experience working as a Data Scientist or in a similar role.
• For the Senior Machine Learning Engineer: you have at least 6 years of experience as a Machine Learning Engineer or in a similar role
• You have expertise in statistical modelling and machine learning, especially practical experience with tree based and clustering models
• You are curious about combining complex datasets and willing to spend time to understand, combining and validate data to ensure meaningful results
• 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)
• For the Senior Machine Learning Engineer: Experience with improving code and optimizing pipelines
• 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