Medior Data Scientist / Senior Machine Learning Engineer

Als je op een interessante vacature reageert, nodigt de betreffende consultant je binnen enkele dagen uit voor een vrijblijvende kennismaking. Stap 2 van 5

Analyse

Samen met de consultant onderzoek je of jouw profiel goed aansluit bij de functie. Ook breng je in kaart of de organisatie en jouw ambities goed met elkaar matchen. Stap 3 van 5

Introductie

Als de match van beide kanten klopt, start je binnen 2 weken met de eerste sollicitatieronde bij je potentiële nieuwe werkgever. Stap 4 van 5

Vervolggesprek(ken)

Afhankelijk van de procedure nodigt de consultant je namens de organisatie uit voor de volgende gespreksronde(s) en eventueel een assessment. Stap 5 van 5

Aanbod

Bij een geslaagde match ontvang je een aantrekkelijk aanbod. Wij geven je graag advies over een realistische invulling van de arbeidsvoorwaarden.

• At least 4 years of experience as a Data Scientist or similar role

For the Senior Machine Learning Engineer

• At least 6 years of experience as an ML Engineer or similar role

You also bring:

• Strong experience with machine learning and statistical modelling (especially tree-based and clustering models)
• Curiosity for working with complex datasets and turning them into meaningful features
• Experience with model deployment, monitoring and MLOps/DevOps practices
• Strong programming skills and experience writing production-ready code (Python / PySpark)

Additional experience that helps:

• Databricks and PySpark
• Cloud platforms (preferably Azure)
• Git and CI/CD pipelines
• ETL processes, data pipelines, databases and data lakes
• Experience optimizing pipelines and improving code quality (for senior profile)
• Familiarity with Kedro (nice to have)
• Basic banking knowledge (nice to have)

And of course:

• Strong communication skills in English
• A curious mindset and the ability to collaborate with different stakeholders

• A challenging key position within an ambitious and innovative company, where you shape (Gen)AI Innovation
• A dynamic, multicultural team of engineers, data scientists, and researchers working at the cutting edge of real-world AI.
• A permanent contract that combines stability with the freedom to make your own mark.
• Entrepreneurial freedom within the YER framework: room for initiative and craftmanship
• Work in a close-knit, multidisciplinary, and entrepreneurial team where your vision truly matters.
• International career growth: develop alongside the most pioneering projects in AI, cloud, and software.
• An excellent compensation package, including a pension plan and additional perks.
• International support such as Dutch language lessons, assistance with taxes, and housing guidance, helping you feel at home quickly.

You and your talent

As a Medior Data Scientist / Senior Machine Learning Engineer, you play a key role in building and scaling machine learning solutions that support the lifecycle of Rabobank's business clients. Think of models that help predict customer churn, benchmark businesses using internal and external data, or identify the next best product for a client. You won't just build prototypes - you'll take models all the way to production. Together with the team, you design robust data pipelines, improve model performance, and ensure solutions are scalable, reliable and maintainable. What makes this team unique is the freedom to grow in different directions. Depending on your interests and strengths, you can deepen your expertise in: * Advanced Data Science * Machine Learning Engineering * Data Engineering * AI-driven solutions What you'll be working on * Developing, maintaining and improving machine learning models used in production * Refactoring and optimizing existing code and data pipelines * Combining and analysing multiple internal and external data sources * Writing production-ready code for model deployment * Working across the full machine learning lifecycle * Collaborating closely with engineers and IT in a DevOps setup * Explaining models, ideas and results to both technical and business stakeholders Facts & figures * 36 hours per week * 43,000+ Rabobank colleagues worldwide * Impact on millions of business clients Together we achieve more than alone At Rabobank we believe that diversity in perspectives makes us stronger. We are a Dutch cooperative bank active in 38 countries, serving more than 9.5 million customers. Together with our customers and partners, we work toward a world where everyone has access to sufficient and healthy food. Within Rabobank, the Analytics Acceleration department brings together experience, innovation and creativity to develop impactful data-driven solutions. We work fast, learn continuously and focus on delivering real value. You'll join a team where collaboration, curiosity and experimentation are key - and where you can see the impact of your work quickly. Rabobank combines large-scale financial services with cutting-edge cloud, data and AI technology, creating one of the most advanced tech environments in the Dutch banking sector.