? UST is looking for the very Top Talent…and we would be delighted if you were to join our family

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.

? What are we looking for?

We are looking for a Data Scientist, working close to one of our main clients in banking sector.

? Main tasks and accountabilities will be:
- 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
- Create intuitive, interactive dashboards (e.g., 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

? What UST expects from you?
- 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,

📌 Data Scientist (Madrid)
🏢 UST España & Latam
📍 Madrid