Experteer Overview

Consulte la descripción del puesto a continuación. Si confía en que tiene las habilidades y la experiencia adecuadas, envíe su solicitud hoy mismo.
In this role, you will apply Generative AI and LLMs to build end-to-end data products that address BBVA’s business needs. You will work with a cross-functional team within the BBVA AI Factory to develop explainable, impactful AI-driven solutions for finance. You’ll lead analytical projects, build predictive and generative models, and manage LLM lifecycles to support customer relationships and operational processes. This position offers hands-on impact in a data-driven, innovative environment with mentorship and governance of analytics practices.

Compensaciones / Ventajas
• Lead analytical projects aligned with strategic objectives and guide analytical teams to delivery
• Analyze large, complex datasets to uncover actionable insights
• Build predictive and generative models using statistical, ML, and LLM techniques
• Manage LLM lifecycles: evaluation, fine-tuning, optimization, and integration




• Lead iterative development of LLM-based solutions, including knowledge bases and evaluation methods
• Collaborate cross-functionally with product managers, engineers, and designers to deploy data-driven solutions
• Communicate insights and recommendations to stakeholders across the organization
• Mentor less experienced team members to support growth and success
• Ensure deliverables meet Advanced Analytics governance standards and best practices

Responsabilidades
• 5+ years of experience as a Data Scientist with substantial LLM work and multi-disciplinary projects
• Advanced knowledge of LLMs: fine-tuning, prompt engineering, embeddings, model optimization
• Proficiency in Python; strong experience with Pandas, NumPy, scikit-learn; xqbhyrx hands-on PySpark, TensorFlow, PyTorch, HuggingFace Transformers
• End-to-end ML lifecycle experience from dataset creation to monitoring/retraining
• Strong data storyte

📌 Data Scientist GenAI (Madrid)
🏢 Bbva
📍 Madrid