This is what we offer you
Gross monthly salary between € 5.994 and € 8.563 (scale 10). Thirteenth month's salary and 8% holiday allowance
10% Employee Benefit Budget
EUR 1,400 development budget per year
Hybrid working: balance between home and office work (possible for most roles)
A pension, for which you can set the maximum amount of your personal contribution
View all our benefits.
Job Title
Data Scientist AI
Job Description
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…