Data scientist in applied AI

Penguin Random House Grupo Editorial; Barcelona; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Company mobile phone

Meal vouchers

More annual leave

Discounts on company products

Access to e-book/app

Job summary

Penguin Random House Grupo Editorial ищет старшего Data Scientist – Applied AI в Барселоне. Вы будете перерабатывать сложные задачи от исследования до продакшена, работать над ML, NLP и генеративным AI, внедрять решения в реальные продукты и процессы.

Вы будете сотрудничать с международной командой, развивать production‑level Python сервисы, API и конвейеры данных, а также участвовать в проектировании экспериментов и оценке моделей в условиях больших данных и облачных платформ.

Qualifications

• 5+ лет опыта в data science, ML или смежной технической области.
• Уверенные навыки Python и практики разработки production‑code.
• Сильная база в ML: разработка моделей, эксперименты и оценка.
• Опыт работы с большими языковыми моделями и генеративным AI.
• Понимание паттернов применения LLM: prompting, embeddings, retrieval/RAG и вызов функционала.
• Опыт проектирования устойчивых подходов к оценке моделей и интерпретации результатов.
• SQL‑навыки и работа с крупными наборами данных.
• Опыт работы в облачных средах и современных data‑платформах.
• Навыки разработки или интеграции API, сервисов или пайплайнов данных.
• Способность переходить от экспериментов к инженерии, а не останавливаться на ноутбуке.
• Умение ясно коммуницировать как с техничными, так и с нетехничными коллегами.
• Высокий уровень английского; знание испанского будет плюсом.

Responsibilities

• Руководить работами по data science и применимому AI от исследований до продакшена.
• Разрабатывать и оценивать ML/NLP/генеративные решения, выбирать подходы под задачу.
• Создавать приложения с LLM и техниками генеративного AI, структурированного вывода, embeddings, semantic search, retrieval, RAG, инструменты и агентов.
• Разрабатывать production‑quality Python сервисы, API и пайплайны интегрирующие модели в продукты.
• Дизайн экспериментов и фреймворков оценки, чтобы сравнивать подходы и понимать пределы систем.
• Работа с структурированными и неструктурированными данными на больших объемах через SQL и современные data‑платформы.
• Сотрудничать с ML и Infrastructure инженерами по развёртыванию, контейнеризации, мониторингу и продуктивной эксплуатации.
• Сотрудничать с коллегами по бизнесу для перевода вопросов в технические решения.
• Поддерживать других дата‑учёных и вносить вклад в общие стандарты и повторно используемые компоненты.

Skills

Python

Machine learning

LLMs

SQL

APIs

Cloud platforms

Data pipelines

Production-grade code

English proficiency

Tools

AWS

Snowflake

Databricks

FastAPI

TypeScript

React

LangChain

LangGraph

PydanticAI

DSPy

Vector databases

Job description

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 flexible 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