Descripción de la empresaAt Penguin Random House Grupo Editorial, we are driven by a twofold purpose: to safeguard the future of books and reading.
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To achieve this, we publish books for readers of all ages and in a variety of formats, including print, digital, and audio.

We are the Spanish-language division of the international publishing company Penguin Random House and part of Bertelsmann, a global media, services, and education company operating in more than 50 countries worldwide.
We are home to 61 publishing imprints, 45 Nobel Prize winners in our catalogue, and more than 20,000 authors.

At the heart of everything we do is a people-centred culture.
We value every employee as an individual and foster an inclusive and diverse workplace where everyone feels heard, respected, and valued.
We encourage creativity, collaboration, and continuous learning, providing people with the tools and support they need to reach their full potential.

Descripción del empleoAbout the team Our Data Science team builds products that help Penguin Random House make smarter, ethical and commercially responsible decisions.
We combine data science, machine learning and the latest developments in AI to solve real business problems and turn promising ideas into tools people can actually use. Based in Barcelona, you'll be part of a general Data Science & AI community, collaborating closely with colleagues in the US and across Penguin Random House to share technology, ideas and best practices.

About the role

As a Senior Data Scientist – Applied AI, you'll take complex problems from exploration and experimentation through to production.
You'll work across machine learning, NLP and generative AI,



selecting and evaluating the right approaches to build effective, reliable solutions. You'll bring strong Python and data science skills alongside hands-on experience with modern AI, including LLMs, retrieval and agents.
You'll also work closely with ML and Infrastructure Engineers to ensure the solutions you build are reliable, scalable and maintainable in production. As a senior member of the team, you'll be expected to make sound technical decisions, challenge assumptions, support other Data Scientists and help shape the approaches and technologies we adopt. We also care deeply about responsible AI.
You'll consider privacy, security, provenance, model limitations and appropriate human oversight as part of how solutions are designed and built.

What you'll be doing

Lead data science and applied AI work from exploration and experimentation through to production Develop and evaluate machine learning, NLP and generative AI solutions, selecting the approach that best fits the problem Build applications using LLMs and techniques such as structured generation, embeddings, semantic search, retrieval, RAG, tool use and agents Develop production-quality Python services, APIs and data pipelines that integrate models and AI capabilities into real products and workflows Design experiments and evaluation frameworks to compare approaches,



measure quality and understand where systems succeed and fail Work with structured and unstructured data at scale using SQL and modern data platforms Collaborate with ML and Infrastructure Engineers on deployment, containerization, monitoring and production operations Work directly with colleagues across the business to turn open-ended questions into practical technical solutions Support other Data Scientists and contribute to shared technical standards, reusable components and best practices Collaborate with Data Science & AI colleagues globally, while staying current with developments in machine learning and AI and helping identify which new approaches are worth adopting RequisitosWhat you'll bring Essential 5+ years of professional experience in data science, machine learning, applied AI or a related technical discipline Advanced Python skills and the software engineering practices needed to build maintainable production code Strong foundations in machine learning and data science, including model development, experimentation and evaluation Practical experience building with large language models and generative AI Understanding of modern LLM application patterns, including prompting, structured outputs, embeddings, retrieval/RAG and tool or function calling Experience designing robust approaches to model evaluation and interpreting results critically Strong SQL and experience working with substantial datasets Experience with cloud environments and modern data platforms Experience building or integrating APIs, services or data pipelines The ability to move comfortably between experimentation and engineering, rather than stopping at a successful notebook or proof of concept Strong problem-solving skills and the confidence to make technica

📌 Senior Data Scientist (Cataluña)
🏢 Bertelsmann
📍 Cataluña