Data Scientist
Role details
Job location
Tech stack
Job description
pdoValue S.p.A. is the leading operator in Southern Europe in credit management and real estate services for banks and investors.With a unique positioning in the sectorable to offer investor clients access to the markets with the highest potential in Europe./ppbr/ppThe group manages loans and real estate while operating across the NPLs management range at the level of strategy development, decision making and support services, in collaboration with a network of international consulting firms, real estate appraisers, brokers and lawyers./ppbr/ppThe Group has over ***** employees and an integrated range of five areas of activity: /ppbr/pulliServicing of performing and early arrears loans./liliServicing of UTP loans (unlikely-to-pay)./liliServicing of NPL loans (non-performing loans)./liliServicing of real estate assets./liliServices for the supply of data and other servicing ancillary services./li /ulpbr/ppWe are looking for a bData Scientist /b to support the creation of new data products for the market and to collaborate with both the local Spanish team and Group/holding functions.This role offers the opportunity to grow your technical skills, contribute to strategic data projects, and act as a link between teams at different organizational levels./ppYou are a Spanish speaker with professional English proficiency, comfortable working in an international environment /ppbr/ppbMain roles and responsabilities /b /ppbr/pulliAct as a point of contact between the Group Data Strategy team and the local Spanish team, helping ensure clear communication and alignment./liliSupport the local contribution to Group data initiatives, providing feedback on data availability, local needs, and business context./liliApply basic statistical, analytical, and machine-learning techniques to contribute to models, indicators, and insights for new data products./liliExplore internal and external datasets to identify opportunities for new features and analytical improvements./liliPerform exploratory data analysis (EDA) to assess data quality and understand trends or patterns./liliProduce clear documentation, visualizations, and presentations to communicate the logic, methodology, and value of proposed data product features./liliContribute to the continuous improvement of our data science methodologies and product innovation pipeline./li /ulpbr/ppbSkills requiered /b /ppbr/pulli2-3 years of professional experience, ideally within structured environments such as consulting firms or large organizations./liliBachelor degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field /liliProven track record in Data projects, with hands-on involvement in analytics, modeling, and data-driven solutions./liliProficient in SQL, Python, and Power BI for data manipulation, analysis, and visualization./liliStrong knowledge of Microsoft ecosystem, with experience in Azure and Databricks environments highly preferred./liliFamiliarity with data governance principles and scalable data architectures /liliFuent in English and Spanish /li /ulpbr/ppbPersonal Organizational Skills: /b /ppbr/pulliHighly reliable, organized, and detail-oriented, capable of managing tasks with a project management mindset./liliAbility to maintain structured workflows and documentation even in technical roles./liliStrong soft skills: team player, positive attitude /li /ul
Requirements
li /ulpbr/ppbSkills requiered /b /ppbr/pulli2-3 years of professional experience, ideally within structured environments such as consulting firms or large organizations. /liliBachelor degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field /liliProven track record in Data projects, with hands-on involvement in analytics, modeling, and data-driven solutions. /liliProficient in SQL, Python, and Power BI for data manipulation, analysis, and visualization. /liliStrong knowledge of Microsoft ecosystem, with experience in Azure and Databricks environments highly preferred. /liliFamiliarity with data governance principles and scalable data architectures /liliFuent in English and Spanish /li /ulpbr/ppbPersonal Organizational Skills: /b /ppbr/pulliHighly reliable, organized, and detail-oriented, capable of managing tasks with a project management mindset. /liliAbility to maintain structured workflows and documentation even in technical roles. /liliStrong soft skills: team player, positive attitude /li /ul