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 / Incentivos

- 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; xugodme hands-on PySpark, TensorFlow, PyTorch, HuggingFace Transformers
- End-to-end ML lifecycle experience from dataset creation to monitoring/retraining
- Strong data storytelling and ability to translate technical concepts for business stakeholders
- Knowledge of ethical AI, data privacy laws (GDPR, CCPA), and responsible data science practices
- Nice to have: financial industry experience, PhD, cloud experience (AWS/GCP/Azure), Docker, Kubernetes
- Excellent communication skills and ability to lead and mentor teams

Requisitos principales

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📌 Data Scientist GenAI (LLMs) (Madrid)
🏢 Bbva
📍 Madrid