You know how to build models. Now you want them to survive contact with reality.
If you’re a Data Scientist with a few years of experience, chances are you’re at a crossroads:
* You don’t want to stay stuck in PoCs or isolated analyses
* You want your AI solutions in production, used by real people
* You want to grow technically and be taken seriously by the business
This role is built exactly for that next step.
The challenge
You’ll join a large, established AI organisation within a leading financial environment where AI is already embedded in daily operations. This is not an experimental lab, it’s a place where AI must be robust, explainable, scalable and responsibly deployed.
Here, Data Scientists are expected to:
* Take ownership
* Work with complex data and real constraints
* Deliver solutions that last
What you’ll actually be working on
As a medior Data Scientist, you’ll translate concrete business challenges into production-grade AI solutions with visible impact.
You will:
Design and develop AI applications such as:
* Virtual assistants enhancing customer experience
* Advanced AI tools supporting employee efficiency and creativity
* Intelligent automation of internal processes
Work across generative and classical AI, including:
* Large Language Models (prompt engineering, RAG, fine-tuning)
* Speech and multimodal AI
* Agent-based AI systems
* Statistical and machine learning techniques
The environment
* A large AI tribe with experienced Data Scientists, AI Engineers and product roles
* Agile teams where ownership, collaboration and pragmatism are the norm
* An innovation-minded culture with direct communication and little politics
* Access to one of the richest and most diverse data landscapes in the market
Who this role is for
This role is a strong fit if you:
* Hold a Master’s degree in data science, statistics, computer science, engineering or a related quantitative field
* Have around 3 or more years of experience as a Data Scientist or in a similar AI-focused role
* Have deep expertise in at least one AI domain (e.g. NLP, ML, generative AI) and the ambition to broaden further
* Are comfortable coding in Python and care about clean, maintainable work
* Understand ML engineering basics (version control, reproducibility, CI/CD)
* Communicate fluently in English, and have are fluent in French and/or Dutch