We are looking for an experienced Data Scientist to contribute to data analysis, quantitative modelling, and environmental and agricultural data projects. Key Responsibilities * Conduct quantitative assessments using MuSIASEM and environmental data analysis. * Analyse European agricultural and bioeconomy datasets, including Eurostat, FAO and CAPRI. * Design, develop and maintain Python-based data analysis and ETL pipelines. * Contribute to data warehouse architecture and dimensional modelling. * Develop interactive data visualisations and dashboards using D3.js, Power BI and DAX. * Apply quantitative modelling and life cycle assessment (LCA) methodologies. * Prepare analytical reports, communicate findings and present results to stakeholders.



* Support the integration of AI solutions and databases into data analysis workflows. Requirements * Master’s degree (EQF Level 7) in a relevant field. * Minimum 10 years of professional IT experience, aside from studies. * 36 months of experience in MuSIASEM quantitative assessments. * 12 months of Python experience. * 6 months of experience with at least one Adobe tool: InDesign, Acrobat or Illustrator. * English proficiency at C1 level or higher, spoken and written. Additional Expertise * ETL pipelines, data warehouse architecture and dimensional modelling. * Power BI, DAX, LCA and quantitative modelling. #J-18808-Ljbffr

📌 Data Scientist (Italia)
🏢 Engineering International Belgium
📍 Italia