We are looking to incorporate a Data Scientist to our team.
We are an IT Consultant Group that provides services and creates digital solutions to improve the lives of citizens across Europe. Our project and team
This is your opportunity to start working on international projects with a highly qualified team and applying the latest technologies. You will join our European team, specifically the one involved in several projects for a significant European Agency.
Python, R, SAS, Spark) to design and implement data-driven solutions.
Knowledge of machine learning and natural language processing (e.g., Scikit-learn, TensorFlow, PyTorch, Hugging Face) to build predictive and text-based models.
Python, R, SQL; Perl optional) commonly used in data science for modelling and automation.
CI/CD pipelines, model registry, unit testing frameworks) to ensure reproducibility and quality in model delivery.
Knowledge of business intelligence tools (e.g., Tableau, SAS, SAP Analytics) to visualise and communicate model outputs and insights.
Knowledge of data engineering and ETL processes using tools (e.g., Talend, Informatica, dbt, Azure Data Factory) to prepare training datasets.
Knowledge of data storage and query technologies (e.g., SQL, NoSQL, MongoDB, Hadoop) to extract and process data at scale.
High level of English.




Collaborate with stakeholders to collect requirements, frame business problems as data science hypotheses, define success metrics, and develop or deploy advanced data mining and machine learning solutions.
Collaborate with User Experience (UX) and product teams to specify design requirements for the effective presentation and interpretation of model outputs and insights.
Develop process to monitor and analyse data accuracy
Identify, collect, and prepare data for analysis, collaborating with Data Analysts to ensure robust production-grade data pipelines, with a focus on feature engineering and data readiness for modelling.
Produce data models according to specific problems statements.
Develop and implement machine learning algorithms, statistical models, and scripts to solve specific business problems.
Collaborate with Data Analysts and Architects on the design of the analytics architecture to ensure it supports the scalability and performance requirements of data science models.
Ability to design and test approaches for complex challenges.
Ability to understand, speak and write English, optionally French as an additional asset.
In particular, it complies with current regulations on gender equality between women and men (Royal Decree-Law 6/2019)
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📌 Data scientist (marketing) (Madrid)
🏢 ALTIA
📍 Madrid