Location: EU
Experience: 10+ years, after studies
Language: English (C1 or higher)

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.
• 12 months of experience with HTML5, CSS3, SASS, JavaScript/ECMAScript 6 and D3.js.
• 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.

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