Описание 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. 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.
Задачи 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
Требования 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 technical decisions when the path isn’t obvious
The ability to communicate clearly with both technical and non-technical colleagues
A high level of professional English, as much of your collaboration will be with international teams
Будет плюсом:
Production experience with agents or multi-step LLM systems;
Experience with frameworks such as PydanticAI, DSPy, LangChain/LangGraph or provider-specific agent SDKs;
Familiarity with LLM evaluation, tracing and observability tools;
Experience with AWS;
Experience with Snowflake and/or Databricks;
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;
Experience mentoring other technical colleagues or contributing to technical standards;
Basic or conversational Spanish
Условия This 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.
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
Company mobile phone
Access to our e-book and audiobook app
More annual leave than required under the applicable collective agreement
Meal vouchers
Discounts on company products
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📌 Data scientist in applied AI (Barcelona)
🏢 Penguin Random House Grupo Editorial
📍 Barcelona