Data Scientist

pOur client is looking for a senior data scientist to support a marketing and communication environment by developing responsible AI solutions that improve campaign reach, relevance, and impact. You will work closely with a collaborative team of data scientists and business stakeholders, combining advanced modeling, production deployment, and clear business communication to turn data into measurable value. /p h3Responsibilities /h3 ul liDevelop responsible AI models to address business needs within marketing and communication and improve campaign performance. /li liCapture business requirements, assess feasibility, and build models and analyses to identify the most relevant target groups. /li liDesign and run tests to measure model impact and support customer journey-driven marketing campaigns. /li liBuild data pipelines to clean and structure web analytics data and use LLMs to detect customer intent. /li liDevelop and deploy automated summarization solutions using LLMs or traditional NLP approaches. /li liApply responsible AI principles and best practices, including explainability. /li liMonitor and deploy AI models in production using a comprehensive tooling stack. /li liTranslate technical concepts into clear, actionable recommendations for business owners and advise on model usage in campaigns. /li /ul h3Technical Skills /h3 ul liStrong Python expertise and hands-on experience with the Python data science ecosystem, including scikit-learn, transformers, PyTorch, and TensorFlow. /li liProven experience fine-tuning, evaluating, and operationalizing LLMs and embedding models for production use in marketing contexts. /li liSolid knowledge of statistical methods, experiment design, and machine learning algorithms, including traditional ML and deep learning. /li liExperience using LLMs for text classification, RAG, interpretability, guardrails, and validation of LLM-driven predictions. /li liHands-on experience with MLflow for experiment tracking, model versioning, and CI/CD pipelines in AI/ML workflows. /li liExpertise in customer journey modeling, such as next best action. /li liWorking knowledge of Git, Bash, and SQL. /li /ul h3Profile /h3 ul liMaster’s degree or higher in a quantitative field such as statistics, mathematics, or computer science; candidates with other academic backgrounds and substantial data science experience are also welcome. /li liAt least 5 years of relevant experience in data science. /li liAbility to work independently, take ownership, and drive projects end to end with minimal guidance. /li liStrong analytical and problem-solving mindset. /li liClear, concise communicator who can translate data insights into actionable recommendations. /li liQuick learner, proactive, result driven, and comfortable working in a team. /li /ul h3Practical Information /h3 ul liWork arrangement: 50% on-site presence in Brussels and 50% telework. /li liLanguage

requirements:
fluent English, and fluent Dutch or fluent French, both spoken and written. /li liPreferred experience is a plus: active learning, uplift modeling, marketing mix modeling, optimization under constraints, SAS, and Streamlit. /li /ul h3Contactperson Reference /h3 ul liReference #: INW28856 /li liIsa Fars /li /ul