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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...
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.
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.
Rabobank is a cooperative bank with a mission. As an international financial institution, we work on the well-being and prosperity of millions. In the Netherlands, we serve individual and business customers, and globally, we focus on the food and agriculture sectors. For 125 years, Rabobank has been finding solutions for challenges, big and small, and will continue to grow a better world together.
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