Geen ZZP

- voertaal is Engels, beheersing NL taal niet verplicht
- 36 uur p.w.
- Startdatum z.s.m.

Extra informatie:

Softskills:
-    Communicatie
-    Klantvriendelijk
-    Agile
-    Makkelijk met verandering omgaan

**
-    Geen lange cv’s
-    Geen leider/manager
-    Hands on aanleveren
-    Initiatief nemen
-    1 dag op kantoor woensdag

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.

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

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.