Data Analyst - European Agency
Pubblicato il 25-09-2026 - Altia in Ispra
ph3Role /h3 pWe are looking for a Senior Data Scientist / Environmental Geospatial Data Consultant with extensive experience in environmental and agricultural data, geospatial analysis, Machine Learning, and large-scale datasets, capable of translating complex data into actionable insights for sustainability-focused projects. /p pWe are looking for a Senior Data Scientist / Environmental Geospatial Data Consultant with extensive experience in environmental and agricultural data, geospatial analysis, Machine Learning, and large-scale datasets, capable of translating complex data into actionable insights for sustainability-focused projects. /p h3Who We Are /h3 pAltia is a high-value digital transformation services company that has undertaken, changed, and reformulated international projects for nearly a thousand clients, leaders in their sectors, who have understood that their businesses can be revolutionized through digitalization. Over its 30 years of experience, it has proven to be a robust company with a future, a capacity for innovation, and adaptability. /p h3The project /h3 pYou will contribute to environmental data science, geospatial analysis, and sustainability activities within an international project supporting European institutions and agencies, working with large-scale datasets and advanced analytical methodologies. /p ul liEnvironmental Agricultural Data: Analyse, manage, and model large environmental and agricultural datasets, supporting evidence-based assessment and sustainability initiatives at regional and international scale. /li liData Science Machine Learning: Develop and evaluate regression, predictive, classification, clustering, and Machine Learning models to extract insights from complex datasets. /li liGeospatial Analysis: Apply geospatial and geo-statistical methodologies to environmental datasets, using specialised tools for spatial analysis, mapping,
and data visualisation. /li liEnvironmental Indicators Accounting: Support the development and evaluation of environmental indicators and contribute to natural capital accounting frameworks and platforms. /li liData Storytelling Communication: Translate complex analytical results into clear visualisations, reports, and data-driven narratives for technical stakeholders, decision-makers, and senior audiences. /li liTechnical Documentation: Prepare analytical documentation covering methodologies, geospatial and geo-statistical assessments, data management processes, and analytical results. /li /ul h3Stack /h3 ul liProgramming Data Science: Python, Geo-Python, R, SQL, Jupyter Notebook, Machine Learning and predictive modelling. /li liGIS Geospatial: ArcGIS, QGIS, geospatial analysis, geo-statistics, spatial modelling and advanced mapping. /li liMachine Learning Analytics: Regression, predictive modelling, classification, clustering, Machine Learning, Big Data and large-scale data processing. /li liEnvironmental Natural Capital: ARIES, INCA, SEEA-EA, natural capital accounting, environmental indicators and sustainability analytics. /li liData Visualisation: Advanced data visualisation, cartography, mapping and data storytelling. /li liData Management: Large environmental and agricultural datasets, complex databases, AI-supported data analysis and regional/international data management. /li /ul h3What we offer /h3 ul liHigh-impact project /li liCollaborative work environment /li liCareer Plan /li liTraining Plan /li liFlexible Remuneration /li /ul pThe present job offer is drafted taking into account impartiality and non-discrimination on the grounds of gender, race, ideology, or any other reason. Especially, it takes into account the respect for the current regulations regarding gender equality between women and men (Royal Decree-Law 6/2019). /p /p #J-18808-Ljbffr