.ZZP mogelijk / Independent contractors possible
.No Dutch requiered
.Onside candidates only

Imagine… That all Rabobank customers in the Business Lending domain use the service processes that you helped realize. Within one of the largest Tribes of Rabobank group, with no fewer than 650 colleagues, you will get the opportunity to join our Data Scientist squad and work with business stakeholders to launch new ML/AI products.

• You are eager to help others be successful and always think a few steps ahead.
• You love to challenge the status quo and are eager to come up with and propose creative solutions to problems in a rapidly changing and complex environment.
• With your background, you can easily connect the dots and help to continuously improve our strategy.

With each other
Collaboration is at the heart of everything we do. With a team of 5 data scientists, machine learning engineers, and cloud engineers you shape the way we do business within the Tribe. As a team, we leverage data through (advanced) analytics to deliver data-driven tools to our stakeholders in the domestic business lending domain. Our data science products facilitate evidence-based agile strategic and tactical decision-making regarding the quality (and volume) of the loan portfolio. Except to work on:
? Measuring our client's sustainability level with natural language processing and web scraping algorithms.
? Shaping the new Road Map for our Retention Strategy with AI algorithms and recommendations for retention campaigns.
? Helping our portfolio management team to make the best strategic decisions based on a portfolio simulation tool or forecasting future portfolio inflow.

With you
You will be responsible for designing, building, and interpreting algorithms that power data products at Rabobank.
• You have experience developing, training, validating, benchmarking, and monitoring machine learning algorithms.
• You have experience translating business needs to advanced analytics solutions
• You can communicate complex outcomes with clarity to a wide range of audiences.
• Technologies Extensive knowledge of data science and statistical techniques, toolsets, and algorithms, such as e.g. Spark, Scikit-Learn, TensorFlow, PyTorch, XGBoost, Pandas, Azure Machine Learning, Databricks (or something relevant)
• You have experience and enjoy mentoring and coaching junior colleges Nice to have:
• Banking domain knowledge (e.g. business banking)
• Prior experience working with Azure Data Factory, Data Bricks, and Azure Machine Learning
• Prior experience with any of the following fields (Marke