More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work company with over 35.000 employees all over the world and presence in more than 35 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies. We are looking for a Data Scientist , working close to one of our main clients in banking sector.

Lead end-to-end development of data-driven models, from exploratory analysis and feature engineering to modelling, validation, deployment, monitoring, and comprehensive documentation Design, build, and optimise robust data pipelines to ensure high-quality, reliable, and timely access to structured and semi-structured financial datasets Develop and enhance solutions for identifying and resolving financial data anomalies, including prototyping novel algorithms and improving existing methodologies Define and implement meaningful performance metrics and impact assessments to evaluate model effectiveness against clear business objectives Support the migration and integration of current models into a new enterprise-grade data science platform, ensuring scalability, reproducibility, and compliance via Tableau or similar tools) to visualise insights and facilitate stakeholder engagement Collaborate actively in agile, multidisciplinary teams - championing best practices,



peer review, knowledge sharing, and continuous improvement 3+ years of experience in Python for data analysis and automation (libraries such as pandas, scikit-learn, NumPy, PyTorch/TensorFlow); solid command of SQL for querying large-scale databases Sound theoretical understanding of core probability and statistics concepts, along with familiarity with popular machine learning methods (experience with recommendation systems is a plus) Hands‐on experience in extracting, transforming, organizing, and interpreting data Master's degree in Data Science, Statistics, Mathematics, Physics, Computer Science, or a related quantitative field (completed or in the process of completing) Good English level (C1) you will be working with international teams. Familiarity with software engineering and DevOps principles, particularly around code versioning (Git), testing, CI/CD pipelines, and containerisation (Docker, Kubernetes) is highly valued Hybrid. 3 days a week in the office. No intensive working days for friday or summer.

Numerous benefits (Health Care Plan, teleworking compensation, Life and Accident Insurances). Free access to several training platforms Real Work Life Balance measures (flexibility, WFH or remote work policy, compacted hours during summertime...)

📌 Data Scientist (Python) (Hybrid Madrid)
🏢 UST España u0026 Latam
📍 Madrid