Junior Data Scientist

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 operatesfrom smarter decision-making and automation to improved risk insights and client-facing capabilities.

Youll collaborate with data scientists engineers and business stakeholders to deliver robust explainable and scalable solutionscovering the full lifecycle from problem framing to deployment and monitoring.

 What youll 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.

Qualifications :

Must-have Requirements:

• Bachelors or masters degree (or final-year student) in Computer Science Mathematics Statistics Physics Engineering or related quantitative field.
• Strong foundations in linear algebra probability statistics optimization and numerical methods.
• Solid programming skills in Python (clean code testing mindset packaging basics).
• Hands-on experience with ML libraries such as scikit-learn and familiarity with at least one deep learning framework (PyTorch or TensorFlow).
• Practical knowledge of model evaluation and metrics (AUC precision/recall RMSE calibration etc.) and experimentation methodology.
• Experience working with data using pandas/numpy and querying with SQL.
• Good communication skills and ability to work in collaborative cross-functional teams.
• Professional working proficiency in English and Spanish

Nice to have

• Previous experience in similar roles.
• Exposure to NLP (transformers embeddings) LLMs or generative AI concepts (prompting fine-tuning basics retrieval).
• Understanding of MLOps concepts and tools (e.g. MLflow Docker CI/CD model monitoring).
• Experience with cloud platforms (AWS/Azure/GCP) and distributed processing (e.g. Spark).
• Familiarity with Databricks (or willingness to learn it on the job) for collaborative development and scalable ML workflows.
• Familiarity with time series modeling stress testing or causal inference.
• Interest or exposure to Corporate & Investment Banking / Global Banking products and processes (e.g. lending trade & working capital DCM/ECM transaction banking) and how data/AI can support them (client analytics pricing limits early warning).
• Knowledge of model risk / governance in regulated industries (documentation traceability controls) is a plus.
• Familiarity with Finance analytics concepts such as P&L drivers balance sheet metrics FTP capital/RWA or management reportingable to translate financial KPIs into modeling objectives.
• Understanding of Risk fundamentals (credit risk market risk liquidity risk operational risk) and common modeling topics such as PD/LGD/EAD rating/scorecards stress testing early warning signals or portfolio monitoring in a regulated environment.

Additional Information :

What do we offer you

• Hybrid position based in Madrid Spain
• Permanent full-time contract.
• Smart Office Pack so that you can work comfortably from home. 
• Training and career development.
• Benefits and perks such as private medical insurance life insurance Language lessons etc
• Possibility to be part of a multicultural team and work on international projects.

If you are passionate about data development & tech we want to meet you !

Remote Work :

No

Employment Type :

Full-time