We are looking for a Junior Data Scientist to join the CDAIO team within a banking client in their** Corporate & Investment Banking area in** Madrid. You will contribute to the development, validation, and industrialization of Machine Learning and AI models applied to high-impact business problems.
This is a great opportunity to work in an exciting, fast-evolving AI environment, where modern modeling techniques are actively helping to transform how an investment bank operates—from smarter decision-making and automation to improved risk insights and client-facing capabilities.
You’ll collaborate with data scientists, engineers, and business stakeholders to deliver robust, explainable, and scalable solutions—covering the full lifecycle from problem framing to deployment and monitoring.
** What you’ll do**
-
Develop/apply state-of-the-art statistical, machine learning, and AI models (supervised/unsupervised, forecasting, NLP, anomaly detection, etc.) for use cases.
-
Perform data exploration, feature engineering, and model evaluation using rigorous quantitative approaches.
-
Apply best practices in model validation: cross-validation, bias/variance diagnostics, calibration, robustness testing, and sensitivity analysis.
-
Implement and maintain reproducible ML pipelines (training, inference, monitoring) with strong software engineering standards.
-
Contribute to explainability and governance (e.g., SHAP, feature attribution, stability, documentation), aligned with a regulated environment.
-
Present findings clearly to both technical and non-technical audiences; translate business goals into measurable modeling objectives.
-
Stay current with modern AI: deep learning, LLMs, representation learning, and emerging tooling; prototype where relevant.