Data Scientist

• Develop statistical and machine-learning models from scratch.
• Build, optimise and document robust data pipelines.
• Detect data anomalies and design/integrate data quality solutions.
• Define meaningful KPIs to evaluate model performance and business impact.
• Support the migration of models to a new enterprise-grade data science platform.
• Create intuitive dashboards to communicate insights to stakeholders.
• Collaborate with multidisciplinary teams in an agile environment.
• Maintain clear documentation for models, pipelines and processes.

• Solid experience building models and pipelines.
• Experience working with large datasets and financial data.
• Experience in regulated/banking environments., Proficiency in Python (pandas, NumPy, scikit-learn) Solid SQL knowledge Experience building and optimising data pipelines Familiarity with probability and statistics Dashboard creation (Tableau or similar) Professional proficiency in English Experience with structured and semi-structured financial datasets Understanding of software engineering practices Familiarity with Docker/Kubernetes Strong communication skills Proactive mindset Spanish language skills

A technology services company in Madrid is seeking a Data Scientist / Python Developer to aid in the digital transformation of a leading private banking organization. This role involves developing data-driven models, building data pipelines, and collaborating with diverse teams. Ideal candidates should have strong proficiency in Python and SQL, with experience in regulated environments. A hybrid working model is offered, with opportunities for growth and mentorship.