Data Scientist

We are a global information technology company that builds high-performance, security-centric solutions that can help change the world. Enhancing people’s lives through secure, reliable advanced technology is our vision.

At Unisys, we believe in better!

Here, you can learn new skills, apply your expertise, and solve complex problems with cutting-edge technologies and solutions. You are part of a globally diverse team that supports you, drives change, and delivers successful results consistently.

Our client, a prestigious European Institution, is looking for a Data Scientist to be

present at the client offices in Seville

and provide their expertise in data networks.

Responsibilities Utilize R and/or Python for data mining, data cleaning, data preparation, and data transformation. Designed and implemented data integration pipelines for multi-source economic datasets Built and maintained Oracle relational database Apply text mining and machine learning algorithms to analyze and interpret complex data sets. Develop and implement machine learning models and algorithms to solve specific business or research problems. Create visualizations and reports to effectively communicate findings and insights to stakeholders. Conduct research to improve and innovate data processing techniques and analytical methods. Stay updated with the latest advancements in data science and machine learning. Work closely with cross-functional teams to understand data requirements and deliver actionable insights. Collaborate with other researchers and data scientists to share knowledge and methodologies. Document methodologies, processes, and results to ensure reproducibility and knowledge transfer. Maintain clear and comprehensive records of data sources, algorithms, and outcomes. Implement and optimize various analytical tools and techniques as needed. Experiment with and adopt new data processing languages and tools to enhance analysis capabilities. Present findings in English, written and verbal, to non-technical stakeholders. Utilize Spanish for communication as needed, leveraging it as an asset for the Seville-based role.

Qualifications

Masters degree or equivalent experience in a quantitative field in Economics. At least 4 years of experience in quantitative analytics or data modelling At least 3 years of experience in development with R At least 3 years of experience in development with Python Hands-on experience with SQL and Oracle (relational database) Experience with ETL pipelines Strong knowledge of data mining, cleaning, preparation, transformation, text mining, and machine learning algorithms. Familiarity with other analytical tools is an asset. Experience in a research context is beneficial. Fluency in English is required. Proficiency in Spanish is an asset.