~ Manage and execute key analytical projects within the DATA area, aligning with strategic objectives
~ Lead analytical teams to ensure successful project delivery
~ Analyze large and complex datasets to uncover trends and insights that drive business decisions
~ Develop predictive and generative models using statistical, machine learning, and LLM techniques
~ Evaluate, fine-tune, and optimize LLM models for domain-specific applications
~ Integrate LLMs into analytical solutions
~ Lead iterative development of LLM-based solutions
~ Construct knowledge bases, datasets, and performance evaluation methodologies
~ Collaborate with product managers, engineers, and designers to implement data-driven solutions
~ Integrate LLM capabilities effectively
~ Present findings and recommendations to stakeholders across the organization
~ Guide and mentor less experienced team members
~ Ensure deliverables meet Advanced Analytics governance standards and best practices
~ Build end-to-end data products incorporating cutting-edge AI for banking processes




~ Help develop an AI-supported customer relationship model for customers and managers Requirements
~ Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
~5+ years of experience working as a Data Scientist, including significant work with LLMs and multidisciplinary projects
~ Advanced technical knowledge of LLMs, including fine-tuning, prompt engineering, embedding elicitation, and model optimization
~ Deep expertise in Python, statistical modeling, and machine learning
~ Strong proficiency in Pandas, NumPy, and scikit-learn
~ Hands-on experience with PySpark, TensorFlow, PyTorch, and HuggingFace Transformers
~ Proficiency in the end-to-end lifecycle of ML models, from dataset creation and EDA to testing and monitoring/retraining
~ In-depth understanding of LLM risks, including hallucination, biases, and unpredictability
~ Deep knowledge of machine learning techniques applied to complex busin

📌 Data Scientist (Madrid)
🏢 Jobtailor
📍 Madrid