Role

We are looking for a Data Scientist specialised in Life Cycle Assessment (LCA) and Environmental Footprint, responsible for managing, validating, and analysing sustainability datasets and supporting data-driven environmental assessment solutions.

Who We Are

Altia 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 revolutionised through digitalisation. Over its 30 years of experience, it has proven to be a robust company with a future, a capacity for innovation, and adaptability.

The project

You will contribute to data science and sustainability activities within an international project supporting European institutions and agencies, working with complex datasets and analytical solutions related to environmental assessment and sustainable decision-making.

LCA Data Management: Collect, validate, maintain, and analyse Life Cycle Assessment and Environmental Footprint datasets, ensuring data consistency, quality and interoperability.

Sustainability Analysis: Perform data‑driven sustainability analyses across supply chains, supporting the assessment of environmental impacts, energy consumption and raw material use.

Data Analysis & Processing: Apply statistical analysis, data validation, information extraction, anomaly detection, text classification and reproducible dataset generation techniques.

Communication & Knowledge Transfer: Communicate analytical results,

models, assumptions and limitations to both technical and non‑technical stakeholders through clear documentation, reports, workshops and training activities.

Scientific & Technical Contribution: Contribute to technical documentation, scientific reporting and to the preparation of analytical outputs and publications within an international multidisciplinary environment.

Stack

- LCA & Environmental Footprint: OpenLCA, SimaPro, Ecoinvent, Sphera, ILCD, LCA data formats and interoperability, Life Cycle Assessment, Environmental Footprint.
- Data Science & Statistics: Statistical analysis, data validation, data visualisation, information extraction, anomaly detection, text classification and reproducible datasets.
- Sustainability Data: Environmental assessment, supply chain analysis, energy and raw material assessment, sustainability datasets.
- Documentation & Communication: Technical documentation, scientific reporting, training and workshops, communication of analytical results to technical and non‑technical audiences.

What we offer

- High‑impact project
- Collaborative work environment
- Career Plan
- Training Plan
- Flexible Remuneration

The 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).

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