Data Scientist

Data ScientistWe are looking for a motivated and experienced Data Scientist to join the Analytics team of a leading company specialising in real estate data and technology.Data analysis and the development of data-driven digital products are at the heart of the organisation.In this role, you will help design and develop predictive models and advanced analytical solutions using complex and heterogeneous data.You will work closely with both technical and business teams, contributing to innovative projects with a real impact on clients and the organisation.This is an excellent opportunity to combine modelling, data engineering and applied analytics in a dynamic environment.Location: Las Rozas, MadridWorking model: HybridEmployment type: Full-timeReporting to: Head of Data ScienceLanguages: Fluent Spanish and EnglishKey responsibilities Explore, transform and structure large volumes of complex and heterogeneous data to generate meaningful insights.Design, train and continuously improve predictive models for internal initiatives and client-facing projects.Create new variables and indicators by applying machine learning techniques to business and real estate challenges.Optimise and evolve analytical pipelines and processes to improve efficiency, scalability and quality.Identify, integrate and leverage new external data sources to enrich existing models and broaden their impact.What we’re looking for A degree in Mathematics, Statistics, Physics, Engineering or another related discipline with a strong statistical and mathematical foundation.At least two years of proven experience working on analytical or data science projects.Advanced programming skills in Python and/or R.Solid knowledge of statistical methodologies, including multivariate statistics, networks, machine learning and related techniques.Experience handling, processing and analysing large volumes of data.Fluent Spanish and English.A Master\ ‘s degree in Data Science or similar specialised training would be highly valued.It would be a plus if you have experience withCloud environments.Distributed programming with Spark.Spatial data and GIS tools, such as QGIS or Carto.Non-relational databases.Real estate data or a strong interest in the real estate sector.The person we’re looking for Curious, proactive and eager to continue learning.Analytical, organised and highly attentive to detail.Comfortable working with multidisciplinary teams.Able to communicate complex findings clearly, both verbally and in writing.Equipped with a practical mindset and strong problem-solving skills.What we offer The opportunity to contribute to the future of a growing, data-driven organisation.A hybrid working model based in Las Rozas, Madrid.A passionate and collaborative team focused on delivering high-quality solutions.A competitive salary and benefits package.A supportive environment where collaboration, initiative and continuous learning are encouraged.Opportunities for professional growth and development.An international, dynamic and forward-looking working environment.An inclusive workplace committed to equal opportunities and professional development.#J-*****-Ljbffr

Data ScientistWe are looking for a motivated and experienced Data Scientist to join the Analytics team of a leading company specialising in real estate data and technology.Data analysis and the development of data-driven digital products are at the heart of the organisation. In this role, you will help design and develop predictive models and advanced analytical solutions using complex and heterogeneous data.You will work closely with both technical and business teams, contributing to innovative projects with a real impact on clients and the organisation. This is an excellent opportunity to combine modelling, data engineering and applied analytics in a dynamic environment.Location: Las Rozas, MadridWorking model: HybridEmployment type: Full-timeReporting to: Head of Data ScienceLanguages: Fluent Spanish and EnglishKey responsibilities Explore, transform and structure large volumes of complex and heterogeneous data to generate meaningful insights.Design, train and continuously improve predictive models for internal initiatives and client-facing projects.Create new variables and indicators by applying machine learning techniques to business and real estate challenges.Optimise and evolve analytical pipelines and processes to improve efficiency, scalability and quality.Identify, integrate and leverage new external data sources to enrich existing models and broaden their impact.What we’re looking for A degree in Mathematics, Statistics, Physics, Engineering or another related discipline with a strong statistical and mathematical foundation.At least two years of proven experience working on analytical or data science projects.Advanced programming skills in Python and/or R.Solid knowledge of statistical methodologies, including multivariate statistics, networks, machine learning and related techniques.Experience handling, processing and analysing large volumes of data.Fluent Spanish and English.A Master\ ‘s degree in Data Science or similar specialised training would be highly valued.It would be a plus if you have experience withCloud environments.Distributed programming with Spark.Spatial data and GIS tools, such as QGIS or Carto.Non-relational databases.Real estate data or a strong interest in the real estate sector.The person we’re looking for Curious, proactive and eager to continue learning.Analytical, organised and highly attentive to detail.Comfortable working with multidisciplinary teams.Able to communicate complex findings clearly, both verbally and in writing.Equipped with a practical mindset and strong

problem-solving skills.What we offer The opportunity to contribute to the future of a growing, data-driven organisation.A hybrid working model based in Las Rozas, Madrid.A passionate and collaborative team focused on delivering high-quality solutions.A competitive salary and benefits package.A supportive environment where collaboration, initiative and continuous learning are encouraged.Opportunities for professional growth and development.An international, dynamic and forward-looking working environment.An inclusive workplace committed to equal opportunities and professional development. #J-*****-Ljbffr