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 analysesYou want your AI solutions in production, used by real peopleYou want to grow technically and be taken seriously by the businessThis role is built exactly for that next step.The challengeYou'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 ownershipWork with complex data and real constraintsDeliver solutions that lastWhat you'll actually be working onAs 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 experienceAdvanced AI tools supporting employee efficiency and creativityIntelligent automation of internal processesWork across generative and classical AI, including:Large Language Models (prompt engineering, RAG, fine-tuning)Speech and multimodal AIAgent-based AI systemsStatistical and machine learning techniquesThe environmentA large AI tribe with experienced Data Scientists, AI Engineers and product rolesAgile teams where ownership, collaboration and pragmatism are the normAn innovation-minded culture with direct communication and little politicsAccess to one of the richest and most diverse data landscapes in the marketWho this role is forThis role is a strong fit if you:Hold a Master's degree in data science, statistics, computer science, engineering or a related quantitative fieldHave around 3 or more years of experience as a Data Scientist or in a similar AI-focused roleHave deep expertise in at least one AI domain (e.G. NLP, ML, generative AI) and the ambition to broaden furtherAre comfortable coding in Python and care about clean, maintainable workUnderstand ML engineering basics (version control, reproducibility, CI/CD)Communicate fluently in English, and have are fluent in French and/or Dutch