Senior Environmental Data Scientist - LCA, AI & Dashboards

Engineering International Belgium

Italia

In loco

EUR 90.000 - 130.000

Tempo pieno

46 ore fa
Candidati tra i primi
Generatore di candidature

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Descrizione del lavoro

Engineering International Belgium is seeking an experienced Data Scientist to contribute to data analysis, quantitative modelling and environmental and agricultural data projects in Italy. The role emphasizes MuSIASEM, Python-based ETL pipelines, data warehouse design and dimensional modelling, with interactive dashboards using Power BI and DAX; you will apply LCA and present results to stakeholders.

You will collaborate with cross-functional teams and support integration of AI workflows into

Competenze

  • Master’s degree EQF7 in a relevant field.
  • Minimum 10 years of professional IT experience, aside from studies.
  • 36 months of 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.

Mansioni

  • 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.

Conoscenze

MuSIASEM
Python
Power BI
DAX
D3.js
ETL
Data warehouse
Dimensional modelling
LCA
English (C1+)

Formazione

Master’s degree (EQF Level 7)

Strumenti

InDesign
Acrobat
Illustrator

Descrizione del lavoro

Engineering International Belgium is seeking an experienced Data Scientist to contribute to data analysis, quantitative modelling and environmental and agricultural data projects in Italy. The role emphasizes MuSIASEM, Python-based ETL pipelines, data warehouse design and dimensional modelling, with interactive dashboards using Power BI and DAX; you will apply LCA and present results to stakeholders.

You will collaborate with cross-functional teams and support integration of AI workflows into

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