We are looking for an experienced Data Scientist to contribute to data analysis, quantitative modelling, and environmental and agricultural data projects.

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Key Responsibilities

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- 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

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- 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

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- ETL pipelines, data warehouse architecture and dimensional modelling. xbvzest
- Power BI, DAX, LCA and quantitative modelling.

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