Creating AI algorithms for our Retention Strategy;
Utilizing GenAI to help our colleagues become more efficient and their experience more enjoyable;
Creating portfolio simulation tools to help our portfolio management team to make the best strategic decisions;
You will design, build, and interpretate algorithms that power data products at Rabobank;
You will also connect with our stakeholders and colleagues by co-facilitating knowledge sharing sessions to improve AI Literacy and help find new problems to solve in Business Lending.
Must Haves :
You have experience developing, training, validating, benchmarking, and monitoring machine learning (ML) algorithms, and you are able to incorporate ML explainability with methodologies such as SHAP;
You have experience developing training, validating, benchmarking and monitoring GenAI algorithms;
You have experience translating business needs to Data Science / AI solutions;
You can communicate complex outcomes with clarity to a wide range of audiences and enjoy sharing your knowledge on Data Science / AI;
You are proficient in Python;
Extensive knowledge of data science and statistical techniques, toolsets, and algorithms, such as (Py)Spark, Scikit-Learn, Pandas, and langchain;
Solid understanding of the Azure Stack and Services;
Professional experience in using Databricks solutions;
Basic knowledge of Scrum;
You have experience and enjoy mentoring and coaching junior colleges;
You are a team player.
Nice to have :
Banking domain knowledge (e.g. business banking);
Being able to also pick up or think along on MLOps-related topics;
Basic knowledge of scripting languages, such as Bash, and setting / adapting pipelines in Azure DevOps;
Prior experience with any of the following fields (Marketing, Sustainability, Finance, Sales).
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