You know how to build models. Now you want them to survive contact with reality.
Is this the role you are looking for If so read on for more details, and make sure to apply today.
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:
Advanced AI tools supporting employee efficiency and creativity
Intelligent automation of internal processes
Work across
generative and classical AI
, including:
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 xphnsxz 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
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