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 Mu SIASEM 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 Mu SIASEM quantitative assessments. 12 months of Python experience. 6 months of experience with at least one Adobe tool: In Design, 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.

📌 Senior environmental data scientist (Italia)
🏢 Engineering International Belgium
📍 Italia