Our client, a renowned European institution in Seville, Spain, is the European Union’s science hub. They are responsible for providing technical information and data in support of key European policies like innovation, economic modelling, fiscal policy, digitalisation, and artificial intelligence.

We are seeking a skilled Data Scientist who will play a key role in a forefront geographic information system project that aims to analyse decarbonisation data for energy-intensive industries.

Contract type offer:

• Freelancer (short-term contract)

Location requirement:

• Seville, working from the Institution’s comfortable offices.

Description of the tasks

• Extract, clean, and structure information ( related to emission reductions/sustainability targets, actions/ decarbonisation levers, investments information, etc.) from various Climate Transition Plans (CSRD reports).
• Develop a semi-automated process to scale up the extraction from an increasing number of PDFs climate reports over time (leveraging AI LMM and machine learning)
• Conduct data analysis to complement the dataset with publicly available data
• (e.g. press released) or private databases
• Explore and propose options to scale up the database from an EU-centric approach to a Global approach
• Design and implement routines and procedures for updating and backing up the dataset
• Propose and implement IT solution to connect the database to the existing preliminary version of the analytical tool
• Perform analysis at corporate, sectoral, or geographical level (local, regional, country) to identify trends, patterns, and statistical insights (using data analysis tools and techniques)
• Create visual representations on maps (e.g., with GIS, Tableau, or Power BI)
• Based on the analysis performed, propose new features for improving the GIS tool and implement them
• Update the underlying data sources included in the GIS tool

Knowledge and skills

• Experience with building data pipelines to extract, clean and structure data from diverse sources (e.g. PDFs, databases, APIs)
• Experience with database management and design (e.g. relational databases, NoSQL databases)
• Strong programming skills in languages such as R, Python is required
• Ability to work with large datasets and perform data quality checks
• Experience with data visualisation and communication of complex data insights to non-technical stakeholders
• Knowledge of machine learning and AI techniques, particularly in natural language processing (NLP) and text analysis
• Familiarity with geospatial analysis and mapping tools such as GIS, Tableau, or Power BI
• Strong analytical and problem-solving skills, with the ability to identify trends, patterns, and statistical insights in large datasets
• Experience or understanding of climate-related data
• Familiarity with cloud-based data platforms and services (e.g. AWS, Google Cloud, Azure)

• Bachelor's or Master's degree in a relevant field such as Computer Science, Data Science.