-
La descripción completa del puesto cubre todas las habilidades asociadas, la experiencia previa y cualquier cualificación que se espera que tengan los solicitantes.

- 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. xqbhyrx 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

#J-18808-Ljbffr

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