DATA SCIENTIST

Ayesa Digital; Ispra; In loco; EUR 55.000 - 90.000; Tempo pieno

Descrizione del lavoro

Ayesa Digital is seeking a Data Scientist to join its international team, supporting forest-based sector projects. You will collect, manage, analyze, and visualize complex datasets; develop workflows, databases, and data-driven solutions for strategic decision-making and scientific research.

Collaboration with technical and non-technical stakeholders is essential. The role requires strong data science, GIS, and modelling background, plus experience communicating insights to multidisciplinary

Competenze

• Master's degree or equivalent.
• 5+ years of professional IT/data experience.
• Strong command of English and Italian (B2) in speaking and writing.

Mansioni

• Analyse diverse datasets across European, international, national, regional, and local levels for wood resources and products.
• Design, develop and maintain analytical databases for forest-based sector research.
• Collect, clean, structure and prepare data from heterogeneous sources with quality control.
• Create and maintain Sankey diagrams illustrating woody biomass flows with automation scripts.

Conoscenze

Python

PostgreSQL

GIS technologies

e!Sankey

MATLAB

Octave

ArcGIS

Data visualization

Data cleaning

Git

English (B2)

Italian (B2)

Formazione

Master's degree

Strumenti

ArcGIS

PostgreSQL/PostGIS

MATLAB

Octave

e!Sankey

Descrizione del lavoro

Every professional in our company is essential. Thanks to their talent, we continue to expand: today, we are a global team of more than 11,000 people working toward a shared mission.

Ayesa Digital is currently participating in high-impact European Union projects designed to address major European challenges and drive science and innovation. These strategic technological initiatives stand out for their international scope and strong commitment to socially oriented results.

We are looking for an experienced Data Scientist to join an international and multicultural environment supporting scientific and policy-oriented projects related to the European forest-based sector. The successful candidate will contribute to the collection, management, analysis, and visualization of complex datasets, while developing analytical workflows, databases, and data-driven solutions that support strategic decision-making and scientific research.

This role requires a strong background in data science, GIS technologies, forest-based sector data analysis, and quantitative modelling, combined with excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders.

Key Responsibilities

• Analyse, validate, and cross-compare European, international, national, regional, and local datasets related to wood resources and wood-based products.
• Design, develop, and maintain analytical databases supporting forest-based sector research and assessments.
• Collect, clean, structure, and prepare data from heterogeneous sources, ensuring data quality and consistency.
• Develop and maintain annual Wood Resource Balance Sheets at EU and Member State level.
• Create and maintain static and web-based Sankey diagrams representing woody biomass flows, including automation scripts and update processes.
• Perform statistical and quantitative analyses to support scientific studies and policy-related initiatives.
• Produce data visualisations, graphs, charts, infographics, and other communication materials to present analytical findings.
• Develop and maintain software tools and reproducible analytical workflows supporting scientific projects.
• Collaborate with external stakeholders, including industry representatives, academic institutions, and SMEs, to collect data and define analytical requirements.
• Prepare technical documentation, reports, training materials, workshop content, and contributions to scientific publications.
• Present methodologies, results, and limitations clearly to technical and non-technical audiences.
• Work closely with multidisciplinary teams in a multilingual and international environment.

What We Are Looking For (Requirements):

Required Qualifications:

• University degree corresponding to EQF Level 7 (Master's degree or equivalent).
• Minimum 5 years of professional experience in IT and data-related roles.
• Very good command of English and Italian (minimum B2 level or equivalent), both written and spoken.

Technical Expertise:

• Minimum 5 years of experience with Python.
• Minimum 5 years of experience with PostgreSQL/PostGIS.
• Minimum 10 years of experience working with GIS technologies and tools.
• Minimum 5 years of experience using e!Sankey.
• Minimum 5 years of experience using MATLAB or Octave.
• Strong knowledge of ArcGIS, PostgreSQL/PostGIS, and e!Sankey.
• Extensive experience managing, cleaning, and structuring forest-based sector datasets.
• Experience working with woody biomass supply and demand flows and wood processing industry technical coefficients.
• Knowledge of programming languages commonly used in data science, such as Python, R, and SQL.
• Experience designing and implementing data-driven analytical solutions.
• Knowledge of data preparation, transformation and reproducible dataset creation.
• Experience with analytical data storage and querying technologies.
• Strong data visualisation capabilities and experience communicating analytical insights.
• Knowledge of version control and software development best practices, including Git.
• Experience with Material Flow Analysis methodologies and related visualisation tools

What We Offer:

• Prestigious projects within European institutions.
• International, innovative, and multicultural environments.
• Continuous support from a team of experts in EU projects.

If you are ambitious, enthusiastic, and seeking a new professional challenge in international projects with real-world impact, this is the place for you!

In accordance with Organic Law 3/2007 of March 22, the company is committed to promoting the defense and effective application of the principle of equality between men and women, preventing any type of labor discrimination based on sex, and guaranteeing equal entry opportunities. Furthermore, we promote diversity and reject any discrimination based on race, gender, functional diversity, religion, sexual orientation, gender identity, or any other personal or social condition, striving to build an inclusive and enriching environment.