Data Scientist
hace 3 días
Sevilla
Our client, a renowned European Institution in Seville, is the European Union’s science hub. The organisation plays a vital role in supporting EU policymaking through rigorous, high-quality research across key areas that directly impact the lives of all Europeans, from AI to territorial transformation, clean industry, and fiscal policy. We are seeking a skilled Data Scientist with advanced R developer skills, who will play a key role in a geographic information system project. This initiative focuses on analyzing decarbonization data for energy-intensive industries, supporting corporations in the credibility of their transition plans for a more sustainable economy. Contract type offer: • Freelancer 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 and 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 are 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.
42 Calle Artesa, 41020, Sevilla
