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Sevilla
201Data Scientist
3 d’oct.Unisys
Sevilla, ES
Data Scientist
Unisys · Sevilla, ES
. Python Azure NoSQL Cloud Coumputing AWS R Machine Learning Power BI Tableau
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.