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.