Senior Data Scientist / AI EngineerA jornada completaLegalEntity: Penguin Random House Grupo Editorial, S.A.U.Descripción de la empresaAtPenguin 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.At the heart of everything we do is apeople-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 teamOur 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.About the roleAs 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 doingLead data science and applied AI work from exploration and experimentation through to productionDevelop and evaluate machine learning, NLP and generative AI solutions, selecting the approach that best fits the problemBuild applications using LLMs and techniques such as structured generation, embeddings, semantic search, retrieval, RAG, tool use and agentsDevelop production-quality Python services, APIs and data pipelines that integrate models and AI capabilities into real products and workflowsDesign experiments and evaluation frameworks to compare approaches, measure quality and understand where systems succeed and failWork with structured and unstructured data at scale using SQL and modern data platformsCollaborate with ML and Infrastructure Engineers on deployment, containerization, monitoring and production operationsWork directly with colleagues across the business to turn open-ended questions into practical technical solutionsSupport other Data Scientists and contribute to shared technical standards, reusable components and best practicesCollaborate with Data Science & AI colleagues globally, while staying current with developments in machine learning and AI and helping identify which new approaches are worth adoptingRequisitosWhat you’ll bringEssential5+ years of professional experience in data science, machine learning, applied AI or a related technical disciplineAdvanced Python skills and the software engineering practices needed to build maintainable production codeStrong foundations in machine learning and data science, including model development, experimentation and evaluationPractical experience building with large language models and generative AIUnderstanding of modern LLM application patterns, including prompting, structured outputs, embeddings, retrieval/RAG and tool or function callingExperience designing robust approaches to model evaluation and interpreting results criticallyStrong SQL and experience working with substantial datasetsExperience with cloud environments and modern data platformsExperience building or integrating APIs, services or data pipelinesThe ability to move comfortably between experimentation and engineering, rather than stopping at a successful notebook or proof of conceptStrong problem-solving skills and the confidence to make technical decisions when the path isn’t obviousThe ability to communicate clearly with both technical and non-technical colleaguesA high level of professional English, as much of your collaboration will be with international teamsNice to haveProduction experience with agents or multi-step LLM systemsExperience with frameworks such as PydanticAI, DSPy, LangChain/LangGraph or provider-specific agent SDKsFamiliarity with LLM evaluation, tracing and observability toolsExperience with AWSExperience with Snowflake and/or DatabricksExperience with Docker, Kubernetes and CI/CDExperience building applications using FastAPI, TypeScript, React or similar technologiesKnowledge of information retrieval, semantic search and vector databasesUnderstanding of AI-specific security risks such as prompt injection, inappropriate tool access and data leakageExperience mentoring other technical colleagues or contributing to technical standardsBasic or conversational SpanishInformación adicionalHow we workThis position is based in Barcelona and follows a hybrid working model.You’ll be part of an international team, working closely with US-based leadership and colleagues across Penguin Random House globally.What do we offer?A flexible working culture, with a50% remote working modelOffices located in thecity centreReduced working hourson Fridays, days before public holidays, and during the summer monthsCompany mobile phoneAccess to oure-book and audiobook appMore annual leave than required under the applicable collective agreementMeal vouchersDiscounts on company products…And much more!Information requirements regarding the collection of your personal dataThe 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. Further information can be foundhere.You may contact the company’s Data Protection Officer at the postal address mentioned above or by email.Further information about data protection and your rights can be foundhere.Recruitment platform powered by SmartRecruiters.Requisitos de información relativos a la recogida de sus datos personales:La entidad responsable del tratamiento de la información facilitada en su solicitud es la empresa indicada en la oferta de empleo, con domicilio social en la dirección indicada. La empresa trata sus datos con el fin de establecer una relación laboral, de conformidad con el artículo 6, apartado 1, letra b) del RGPD / artículo 26, apartado 1, frase 1 de la BDSG.El plazo de conservación de sus datos viene determinado por los plazos legales aplicables en el país correspondiente, que comienzan una vez finalizado el proceso de selección. Puede consultarlosaquí.Puede ponerse en contacto con el delegado de protección de datos de la empresa en la dirección postal mencionada anteriormente o por correo electrónico.Puede encontrar más información sobre la protección de datos y sus derechosaquí. Requisitos de información relativos a la recogida de sus datos personales.Plataforma de selección de personal con tecnología de SmartRecruiters.Al hacer clic en el enlace anterior o en cualquier enlace de terceros dentro de esta publicación, usted saldrá de este sitio e irá a un sitio web de terceros donde se aplicarán los términos y la política de privacidad de dicho sitio web de terceros.Ubicación del empleoGoogle Maps requiere que las cookies funcionales estén habilitadasMe interesaMe interesaAviso de privacidadSello
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