- 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 A/B testing for model performance
- Excellent ability to translate complex technical concepts into actionable business insights
- Knowledge of ethical AI principles and data privacy laws such as GDPR and CCPA
- Previous experience in the financial industry is a plus
- PhD in Computer Science, Statistics, Mathematics, or a related field is a plus
- Experience with AWS, Google Cloud, or Azure, including Docker and Kubernetes is a plus
- Knowledge and application of causal inference methods is a plus
- Skills: Data Processing, English Language, Resolume

Core Competencies

Demonstrates expertise in managing analytical projects and leading teams to deliver data-driven solutions, with a strong focus on LLM development and optimization. Proficient in translating complex data insights into actionable business strategies while adhering to advanced analytics governance standards.

Highest-signal resume keywords

- LLM Development and Optimization
- Python Programming
- Statistical Modeling
- Machine Learning Techniques
- Data Analysis and Insights

ATS Optimization Keywords

Hard Skills

- Data Analysis
- Statistical Modeling
- Machine Learning
- Predictive Modeling
- Generative Modeling
- LLM Fine-Tuning
- Prompt Engineering
- Embedding Elicitation
- A/B Testing
- Causal Inference Methods

Soft Skills

- Team Leadership
- Mentoring
- Communication
- Collaboration
- Problem-Solving

Industry Keywords

- Advanced Analytics
- Ethical AI Principles
- Data Privacy Laws
- GDPR
- CCPA
- Financial Industry Experience

Tools & Technologies

- Pandas
- NumPy
- Scikit-Learn
- PySpark
- TensorFlow
- PyTorch
- HuggingFace Transformers
- AWS
- Google Cloud
- Azure

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