We are looking for an experiencedData Scientistto contribute to data analysis, quantitative modelling, and environmental and agricultural data projects.
Key Responsibilities
Conduct quantitative assessments usingMuSIASEMand 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 monthsof experience in MuSIASEM quantitative assessments.
12 monthsof Python experience.
6 monthsof 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.
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📌 Senior Environmental Data Scientist - Lca, Ai & Dashboards (Italia)
🏢 Engineering International Belgium
📍 Italia