Data Scientist – Business Analyst - MOW000699

Data Scientist – Business Analyst Brussels, Belgium Full-time (100%) | Hybrid Start Date: 01 August 2026 Application Deadline: 18 May 2026 Contract Duration: Until 31 May 2027 We are looking for an experienced Data Scientist – Business Analyst to join an innovative data lab focused on advanced analytics, AI, and machine learning solutions within the mobility and public works domain. In this role, you will help design, develop, and operationalise AI and data science solutions that generate actionable insights and support strategic decision-making. You will work closely with business stakeholders and technical teams to translate complex business needs into scalable AI and analytics solutions. Key Responsibilities Analyse complex data streams and identify valuable business insights Design, develop, and deploy machine learning and AI solutions into production Build predictive models using advanced ML and deep learning techniques Develop and optimise databases, queries, and data pipelines Translate business questions into technical and data requirements Collaborate closely with stakeholders to define scope, requirements, and success criteria Create intuitive visualisations and reports for business users Support AI prototyping and experimentation initiatives Develop AI-powered interfaces and solutions for internal services Lead or support innovative and complex data-driven projects Communicate findings and recommendations clearly to technical and non-technical audiences Required Experience & Skills Strong experience with deep learning and neural networks (preferably PyTorch and JAX) Experience with Generative AI, RAG architectures, and Agentic AI products Experience deploying GenAI products into production environments Experience creating UI interfaces for AI services using: Azure AI Foundry Reflex.dev JavaScript / CSS Tailwind CSS Next.js AI prototyping tools such as Claude Code, Codex, or similar Minimum 8 years' experience with: Database optimisation and query tuning Data flow analysis Stakeholder communication ML modelling and predictive analytics Data manipulation and processing Strong expertise in: Statistics Time series forecasting Computer Vision Scikit-learn OpenCV Pandas NumPy SciPy ETL processing Dutch proficiency at CEFR C2 level Nice to Have Experience with Azure ML, Databricks, Spark, Jupyter Notebooks, and DuckDB Experience with data visualisation tools and libraries such as Altair, Matplotlib, and KeplerGL Experience in mobility or transportation-related data science projects Experience with SQL and Oracle databases Experience with scripting languages such as Python, Shell, or Perl Experience leading teams in innovative technical projects Experience translating modelling outcomes into business value Candidate Profile Highly analytical and technically strong in AI/ML technologies Comfortable working independently and proactively Strong in stakeholder communication and collaboration Able to bridge business and technical teams effectively Passionate about innovation, AI, and data-driven decision-making Experienced in delivering production-ready AI solutions Skilled at simplifying complex insights for business audiences Work Environment Hybrid working model with remote work possibilities Flexible work arrangements in alignment with management Opportunity to work on high-impact AI and analytics initiatives within the mobility and public works sector Collaborative and innovation-driven environment focused on advanced data science and AI applicat