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 business problems, including

📌 Data Scientist – GenAI, LLMs (Madrid)
🏢 Jobtailor
📍 Madrid