Data Scientist, Church International

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Plaats

Brussels
België
België

Contract

Vooltijds, Onbepaalde duur

Datum gepubliceerd

2026-03-15

Online to:

2026-05-14
EUR 20.00 HOUR

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Data Scientist

Church International
België
7 uren geleden

Senior Data Scientist - predictive models (50% on-site in brussels) Freelance -start date: 01/04/2026 - 31/12/2026 Dutch or french: fluent (spoken and written) We are seeking a Senior Data Scientist to join our client's Predictive Models team within the Marketing and Communication department. In this role, you will leverage your expertise in data science and Large Language Models (LLMs) to create responsible AI models that enhance campaign relevance and impact. You will work with a motivated team of data scientists who thrive on collaboration, knowledge sharing, and innovation. Key responsibilities Develop and deploy responsible AI models to solve business challenges and optimize marketing campaigns. Capture business needs, assess feasibility, and design models to identify relevant target groups. Build customer journey-driven models, including next-best-action recommendations. Clean and structure web analytics data, leveraging LLMs to detect customer intent. Ensure model explainability, robustness, and compliance with best practices for responsible AI. Deploy and monitor AI models in production using a comprehensive tool stack. Present complex technical concepts clearly to business stakeholders and provide actionable recommendations. Required qualifications & skills Master's degree or higher in a quantitative field (e.g., statistics, mathematics, computer science), or equivalent practical experience Minimum of 5 years of relevant experience in data science Strong expertise in Python and the Python data science ecosystem (scikit-learn, PyTorch, TensorFlow) Proven experience in customer journey modelling and marketing analytics Solid understanding of statistical methods, experiment design, and Machine Learning algorithms (traditional and deep learning) Experience with LLMs for text classification, summarisation, interpretability, and model validation Proficiency in SQL, GIT, and Bash Languages English: Fluent (spoken and written) Dutch or French: Fluent (spoken and written) Preferred skills Experience with incremental learning, uplift modelling, or marketing mix modelling Familiarity with SAS and Streamlit

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