Data Scientist

• Analyze and preprocess complex data sets from various sources to prepare them for analytics solutions.
• Develop, implement, and fine-tune machine learning models tailored to specific project needs.
• Collaborate with the team to build robust and scalable data pipelines.
• Participate in client meetings to discuss technical results and gather feedback.
• Work together with the functional team involved in the project, including business experts and the project manager.
• Work together with the product team to integrate developed solutions into our products.
• Document processes and contribute to the standardization of analytics solutions.

Junior Data Scientist

• Analyze and preprocess complex data sets from various sources to prepare them for analytics solutions.
• Develop, implement, and fine-tune machine learning models tailored to specific project needs.
• Collaborate with the team to build robust and scalable data pipelines.
• Participate in client meetings to discuss technical results and gather feedback.
• Work together with the functional team involved in the project, including business experts and the project manager.
• Provide technical support and mentorship to junior team members, promoting knowledge sharing within the team.
• Work together with the product team to integrate developed solutions into our products.
• Document processes and contribute to the standardization of analytics solutions.

• Turn data and AI into customer value, smarter business decisions and new revenue streams.
• Own the strategy, roadmap and delivery of data products and AI capabilities.
• Contribute to the company's data and AI strategy.
• Define, build and scale data products that create value for customers and for the company.
• Operate closer to engineering than a typical product manager.
• Own the product-side decisions on EU AI Act compliance, GDPR, anonymisation, transparency and human oversight.
• Build a team that will grow as the data and AI pillar matures.

Product Manager – Data & AI

• Partner and collaborate effectively across functional teams in BNL to understand and identify business challenges and develop and/or implement solutions to enable our future growth ambition
• Shape BNL plan to increase dComm insights, standardize tools/reporting and processes
• Partner with MEU dComm team and our suppliers of data & tools to deploy selected tools and data in BNL and leverage best practices
• Apply new dComm technologies to the BNL market
• Lead KPI management by tracking dComm key results like revenue, marketshare, digital shelf & digital retail media
• Building BNL dComm data / tech and experience capabilities

dCommerce Data, Tech & Experience Lead

• As our Applied Data Scientist, your mission is to build the machine-learning models that make Yuki smart — the models that classify documents and predict the right general ledger (grootboek), turning a client's raw invoices into clean, usable accounting data.
• This is a modeling role with real production discipline. You won't just train models and walk away; you'll keep them accurate as the data and the business shift.
• You'll co-create with engineers and product people, and you'll grow a genuine understanding of how accountants actually think about a document.
• Build the models: Train and evaluate classic ML (XGBoost, scikit-learn) and transformer models for document classification and ledger prediction.
• Fine-tune LLMs: Do real model training and fine-tuning with PyTorch and HuggingFace.
• Design experiments: Own feature engineering, model evaluation, and selection, plus embedding and retrieval strategy for vector search.
• Guard production quality: Run drift detection, eval pipelines, and the MLflow model registry so models hold up over time.
• Learn the domain: Build deep understanding of accounting and financial-document structure, and translate it back into modeling decisions.

• Oversee the data management aspects of clinical trials, ensuring the accuracy and integrity of crucial information
• Work in close collaboration with the Clinical project managers on the data management aspects of a clinical trial
• Development, validation and maintenance of project specific databases
• Design data transfer specifications together with our different customers
• Programming and validation of data exports using SQL, R, …
• Guarantee the quality and timely delivery of each data transfer

Data Manager

• Break down multi-domain business problems with a strong focus on return on investment and impact metrics, and think through the appropriate technical methods from POC to production
• Develop solutions and extract insight from data using data science and classical machine learning methods and generative AI (GenAI)
• Take ownership of developing, implementing, and automating robust data science and ML models and pipelines, including feature generation, modeling, evaluation, retraining and deployment
• Translate sophisticated analytical findings and model outcomes into clear, actionable insights for stakeholders, demonstrably driving value and improvements in key business metrics
• Collaborate with cross-functional teams to understand requirements and deliver innovative Data Science/ML/AI solutions
• Conduct research on the latest Data Science/ML/AI developments and apply them to improve our systems
• Document processes, code, and findings for future reference and knowledge sharing

Data Scientist jobs in Belgium

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Junior Data Scientist

Data Scientist

Product Manager – Data & AI

dCommerce Data, Tech & Experience Lead

Data Scientist

Data Manager

Senior AI Data Scientist