Penguin Random House Grupo Editorial, S.A.U.
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At Penguin Random House Grupo Editorial , we are driven by a twofold purpose: to safeguard the future of books and reading. 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.
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 global Data Science & AI community, collaborating closely with colleagues in the US and across Penguin Random House to share technology, ideas and best practices.
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. 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.




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
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
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
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
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
A high level of professional English, as much of your collaboration will be with international teams
Experience with AWS
Experience with Snowflake and/or Databricks
Experience with Docker, Kubernetes and CI/CD
Experience building applications using FastAPI, TypeScript, React or similar technologies
Knowledge of information retrieval, semantic search and vector databases
Understanding of AI‑specific security risks such as prompt injection, inappropriate tool access and data leakage
Basic or conversational Spanish
This position is based in Barcelona and follows a hybrid working model.
A versátil working culture, with a 50% remote working model
~ Offices located in the city centre
~ Reduced working hours on Fridays, days before public holidays, and during the summer months
~ Information requirements regarding the collection of your personal data
The entity responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office at the address indicated therein. The company processes your personal data for the purpose of establishing an employment relationship, in accordance with Article 6(1)(b) of the GDPR / Section 26(1), sentence 1 of the BDSG.
The retention period for your personal data is determined by the applicable statutory retention periods in the relevant country, which begin once the recruitment process has been completed. You may contact the company’s Data Protection Officer at the postal address mentioned above or by email.
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📌 Data Scientist (Barcelona)
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📍 Barcelona