{"id":3460611,"url":"https://alion.io/job/bertelsmann-senior-data-scientist-ai-engineer","title":"Senior Data Scientist / AI Engineer","company":{"id":20910,"name":"Bertelsmann","domain":"bertelsmann.com","url":"https://alion.io/company/bertelsmann","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":100,"open_postings":29,"ghost_share":0,"stale_share":0.034,"repost_share":0,"time_to_fill_p50_days":20,"computed_at":"2026-10-31T05:58:55Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Barcelona, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":54000,"max_usd":112000,"period":"year","method":"role_seniority_country_cell","sample_n":11},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"AWS","optional":true},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"DSPy","optional":true},{"name":"FastAPI","optional":true},{"name":"GDPR","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Pydantic AI","optional":true},{"name":"Snowflake","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-10-29T13:44:52Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-01T04:47:38Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Descripción de la empresa\nAt 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.\nWe 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.\nAt 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.\nDescripción del empleo\nAbout the team\nOur 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.\nBased 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.\nAbout the role\nAs 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.\nYou’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.\nAs 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.\nWe 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.\nWhat you’ll be doing\nLead data science and applied AI work from exploration and experimentation through to production\n\nDevelop and evaluate machine learning, NLP and generative AI solutions, selecting the approach that best fits the problem\n\nBuild applications using LLMs and techniques such as structured generation, embeddings, semantic search, retrieval, RAG, tool use and agents\n\nDevelop production-quality Python services, APIs and data pipelines that integrate models and AI capabilities into real products and workflows\n\nDesign experiments and evaluation frameworks to compare approaches, measure quality and understand where systems succeed and fail\n\nWork with structured and unstructured data at scale using SQL and modern data platforms\n\nCollaborate with ML and Infrastructure Engineers on deployment, containerization, monitoring and production operations\n\nWork directly with colleagues across the business to turn open-ended questions into practical technical solutions\n\nSupport other Data Scientists and contribute to shared technical standards, reusable components and best practices\n\nCollaborate 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\n\nRequisitos\nWhat you’ll bring\nEssential\n5+ years of professional experience in data science, machine learning, applied AI or a related technical discipline\n\nAdvanced Python skills and the software engineering practices needed to build maintainable production code\n\nStrong foundations in machine learning and data science, including model development, experimentation and evaluation\n\nPractical experience building with large language models and generative AI\n\nUnderstanding of modern LLM application patterns, including prompting, structured outputs, embeddings, retrieval/RAG and tool or function calling\n\nExperience designing robust approaches to model evaluation and interpreting results critically\n\nStrong SQL and experience working with substantial datasets\n\nExperience with cloud environments and modern data platforms\n\nExperience building or integrating APIs, services or data pipelines\n\nThe ability to move comfortably between experimentation and engineering, rather than stopping at a successful notebook or proof of concept\n\nStrong problem-solving skills and the confidence to make technical decisions when the path isn’t obvious\n\nThe ability to communicate clearly with both technical and non-technical colleagues\n\nA high level of professional English, as much of your collaboration will be with international teams\n\nNice to have\nProduction experience with agents or multi-step LLM systems\n\nExperience with frameworks such as PydanticAI, DSPy, LangChain/LangGraph or provider-specific agent SDKs\n\nFamiliarity with LLM evaluation, tracing and observability tools\n\nExperience with AWS\n\nExperience with Snowflake and/or Databricks\n\nExperience with Docker, Kubernetes and CI/CD\n\nExperience building applications using FastAPI, TypeScript, React or similar technologies\n\nKnowledge of information retrieval, semantic search and vector databases\n\nUnderstanding of AI-specific security risks such as prompt injection, inappropriate tool access and data leakage\n\nExperience mentoring other technical colleagues or contributing to technical standards\n\nBasic or conversational Spanish\n\nInformación adicional\nHow we work\nThis position is based in Barcelona and follows a hybrid working model.\nYou’ll be part of an international team, working closely with US-based leadership and colleagues across Penguin Random House globally.\nWhat do we offer?\nA flexible working culture, with a 50% remote working model\nOffices located in the city centre\nReduced working hours on Fridays, days before public holidays, and during the summer months\nCompany mobile phone\nAccess to our e-book and audiobook app\nMore annual leave than required under the applicable collective agreement\nMeal vouchers\nDiscounts on company products\n… And much more!\nInformation requirements regarding the collection of your personal data\nThe 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.\nThe 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 found here.\nYou may contact the company’s Data Protection Officer at the postal address mentioned above or by email.\nFurther information about data protection and your rights can be found here.\nRecruitment platform powered by SmartRecruiters.\nRequisitos de información relativos a la recogida de sus datos personales:\nLa 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.\nEl 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 consultarlos aquí.\nPuede ponerse en contacto con el delegado de protección de datos de la empresa en la dirección postal mencionada anteriormente o por correo electrónico.\nPuede encontrar más información sobre la protección de datos y sus derechos aquí. Requisitos de información relativos a la recogida de sus datos personales.\nPlataforma de selección de personal con tecnología de SmartRecruiters.","description_format":"text","description_chars":8397,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Spanish","level":"All levels","optional":false},{"language":"English","level":"All levels","optional":false}]},"benefits":["Annual leave","Continuous learning","Flexible schedule","Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Spain","iso":"ES","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Publishing","TV Production","Music Industry","Business Process Outsourcing (BPO)"],"lifecycle":[{"event":"open","at":"2026-10-29T13:44:52Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":20,"reasons":["conf:6","velocity","win:early","comp:brand"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/bertelsmann-senior-data-scientist-ai-engineer","json_url":"https://alion.io/job/bertelsmann-senior-data-scientist-ai-engineer.json","meta":{"generated_at":"2026-11-01T05:05:30Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":7890,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":20910},"rest":"https://alion.io/mcp/rest/get_company?id=20910"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbertelsmann-senior-data-scientist-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fbertelsmann-senior-data-scientist-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fbertelsmann-senior-data-scientist-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/bertelsmann-senior-data-scientist-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbertelsmann-senior-data-scientist-ai-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3460611}},{"tool":"search_jobs","arguments":{"company":"bertelsmann.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3460611},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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