You know how to build models. Now you want them to survive contact with reality.
Do you have the following skills, experience and drive to succeed in this role Find out below.
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 xphnsxz 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