Data Scientist AI

Ready to improve how millions of customers and colleagues find information using search and generative AI?

Summary

As a Data Scientist at Rabobank, you will develop intelligent search solutions for websites, apps and internal tools. You will work on semantic search, embeddings, machine learning and generative AI within a multidisciplinary team. You will combine experimentation with reliable implementation. This includes evaluating models, integrating large language models and supporting the required governance processes.

At a glance

• Develop machine learning and natural language processing solutions for search and personalisation.
• Use Python, Databricks, Elasticsearch and large language models to build and evaluate solutions.
• Help the team apply generative AI responsibly and in line with Rabobank’s AI Way of Working.

What will you do as a Data Scientist?

• Develop and train machine learning models for semantic search and personalisation, helping users find relevant information more effectively.
• Fine-tune and evaluate embedding models, retrieval methods and hybrid search solutions in Elasticsearch.
• Research and implement large language model techniques for summarisation, metadata generation and other confirmed use cases.
• Translate business questions into scalable data products and clearly communicate the resulting insights.
• Support model monitoring, explainability and governance processes, including Privacy Impact Assessments and model development plans.

Skills, tools and areas of expertise

• Machine learning and natural language processing: you have at least three years of relevant experience developing and applying models.
• Information retrieval: you understand semantic search, embeddings, hybrid retrieval and evaluation methods such as nDCG, MAP and MRR.
• Python and Databricks: you use Python and notebook environments to develop, test and evaluate data science solutions.
• Elasticsearch and generative AI: you can apply Elasticsearch and integrate large language models into search-related solutions.
• Communication and coaching: you can explain complex subjects clearly, present insights effectively and help colleagues work with data in a structured way.

Together we achieve more than alone

We believe in the power of differences. By combining people's differences, we become an even better bank. We are curious about what you will bring to our team [team/department name].

You will join a multidisciplinary team with developers, a Scrum Master and a Product Owner. The team combines software development and data science to improve search and responsibly integrate generative AI.

The wider area works on digital experiences supported by a content platform, intuitive navigation and powerful search. The solutions developed by the team are used across Rabobank websites, apps and internal tools.

Why everyone is welcome at Rabobank

At Rabobank, we are working towards a culture where everyone feels welcome. We value our differences and use them to collaborate more effectively and make better decisions. By being open to different perspectives, we create an environment where colleagues feel heard.

What do you bring?

Must-haves

• At least three years of experience in machine learning and natural language processing.
• Expertise in information retrieval, including semantic search and embeddings.
• Experience integrating large language models into technical solutions.
• Familiarity with Elasticsearch and hybrid search architectures.
• Knowledge of evaluation methods and metrics such as nDCG, MAP and MRR.
• Expertise in Python and experience working in Databricks notebooks or comparable notebook environments.
• The ability to explain complex technical concepts clearly and support colleagues in developing their data science capabilities.
• Fluency in English and a good understanding of Dutch.
• The ability to balance experimentation and innovation with compliance and governance requirements.

Nice-to-haves

• Experience with monitoring and explaining machine learning models.
• Knowledge of CI/CD and software development best practices.
• Experience creating dashboards and using storytelling to communicate insights.
• Experience working in an agile, multidisciplinary environment.
• Familiarity with Java.

Candidates must be located in the Netherlands and have the legal right to work in the Netherlands. Relocation from another country is not supported for this vacancy.

Only applications submitted through our careers website will be considered. Under our GDPR procedures, we cannot process direct applications.

You and the application process

Responding to the vacancy Data Scientist AI at Rabobank is possible until fulfilment.

• Contact for questions about the process ask Rebecca Stumpel, Corporate Recruiter, at rebecca.stumpel@rabobank.nl
• The application process includes 2 interviews via Microsoft Teams.
• If you are invited for an interview, Bo, our virtual assistant, will contact you by SMS and email to schedule the interview.
• A reliability assessment is part of the procedure.
• An assessment can be part of the application process.
• You can find answers to frequently asked questions here: Rabobank jobs FAQ
• We respect your privacy: Rabobank privacy statement

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