ppAt Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. /ph3The Position /h3pData Scientist - Enterprise Search role is responsible for contributing to the design and development of the next-generation Enterprise Search and information retrieval architectures. /ppThis role will build context-aware, generative AI-driven search systems optimized for agentic readiness—enabling autonomous tool orchestration, deep semantic understanding, and intelligent information retrieval at an enterprise scale. /ppThe data scientist will develop advanced AI solutions, with a strong focus on Generative AI, LLM-based applications, and scalable data services. This requires to work with large datasets, develop and evaluate machine learning models, and collaborate with cross-functional teams to improve the accuracy, coverage, relevance, and performance of search algorithms at enterprise scale. /ppThis role involves direct communication with project stakeholders and contributes to team best practices, while identifying optimization opportunities that enhance the impact of moderately complex data solutions within larger product architectures. You will leverage advanced technical skills to translate business needs into actionable data science initiatives. /ph3Job Responsibilities /h3h3Generative AI, Agentic AI and LLM Optimization /h3ulliModel Development Experimentation: Lead exploratory data analysis, feature engineering, model selection, training, validation, and performance evaluation for machine learning and AI-enabled solutions. Design and evaluate multiple modeling approaches, establish appropriate evaluation metrics, and optimize models for scalability, reliability, and business impact. /liliExperimentation and Innovation: lead experimental projects and drive innovation in enterprise search, exploring novel approaches like GraphRAG or agentic search patterns. /liliAgentic AI Search: Develop and deploy intelligent agentic architectures that can interact with and enhance the enterprise search experience /liliRAG Experimentations (RAG Evaluation Framework): Design and conduct Retrieval-Augmented Generation experiments to evaluate and improve search relevance and performance /liliLLM Model Evaluation: Evaluate the performance of Large Language Models in various enterprise search contexts, ensuring they meet business requirements and performance standards /liliAdvanced Prompt Engineering:



Design and optimize prompts to programmatically enhance the interaction and effectiveness of search queries and responses /li /ulh3Business Problem Solving Decision Support /h3ulliPartner closely with business stakeholders and product teams to translate complex business challenges into analytical approaches, ML solutions, and scalable intelligence capabilities. /liliSupport data-driven prioritization and strategic decision making through actionable insights, predictive models, and operational intelligence. /liliConducts A/B testing and experiments to assess the performance of search models and algorithms /liliConsultancy Provide expert consultancy on data science and machine learning best practices, guiding internal teams and stakeholders /liliPoC and knowledge sharing: Design and lead proof-of-value (PoV) projects, conduct knowledge-sharing sessions, and deliver impactful demos to showcase capabilities and gather feedback /li /ulh3Data Engineering Vector Databases /h3ulliData Engineering Processing: Work with structured and unstructured data, building efficient pipelines for data ingestion, preprocessing, and feature engineering /liliVector database experimentation: Conduct experiments with vector databases to improve the efficiency and accuracy of our search systems /liliManaging embeddings: Implement and optimize techniques for embeddings generation, indexation and retrieval to support advanced search queries and retrieval capabilities /liliRetrieval relevance tuning: Develop, evaluate, and tune retrieval algorithms to optimize search precision, recall, and relevance for diverse datasets /liliData quality: Design data enhancement modules that extract, enrich, and validate document content and metadata, directly improving downstream model context, search recall, and agentic reasoning /li /ulh3Model Lifecycle and integration /h3ulliDeployment, Testing, and Training of ML Models and Endpoints: Develop, deploy, and continuously refine machine learning models and endpoints to enhance search functionalities. Conduct rigorous testing and validation to ensure model accuracy and reliability /liliDevelopment of ML Models for search: Create and deploy advanced runnable models, such as entity extraction models and metadata augmentation, to expand the capabilities of our search solutions /liliMLOps Monitoring: Implement best practices for model deployment, versioning, monitoring, and performance optimization /liliAPI MCP Interoperability: Interface with enterprise search engines, platforms, and other APIs to enhance our search functionalities and integrations. Familiarity with MCP and protocols for agent interoperability /li /ulh3Qualifications /h3h3Education / Experience /h3ulliMaster’s degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related quantitative field.



/liliDemonstrated experience as a rising expert developing predictive models and leading specific analytical modules or project components /liliProven track record of taking full accountability for the quality and timely delivery of analytical tasks and troubleshooting complex data issues independently /liliExperience working effectively on moderately complex data science problems and understanding how contributions fit into medium-sized data architectures /li /ulh3Technical Skills /h3ulliShows strong proficiency in programming languages, particularly Python /liliHas proven experience as a Data Scientist, preferably with a focus on information retrieval and NLP /liliHas a solid understanding of natural language processing (NLP) techniques and tools /liliPossesses hands-on experience with machine learning and deep learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) /liliFamiliarity with cloud platforms and services, particularly AWS or Microsoft Azure /liliFamiliarity with version control systems (e.g., Git) and agile development practices /liliPast experience with search engines and technologies (e.g. Elasticsearch, Solr, or Lucene) and solid understanding of search algorithms, information retrieval, and relevancy tuning is a plus /liliDemonstrates excellent analytical and problem-solving skills, with the ability to work with large, complex datasets /liliProven ability to translate well-defined business questions into clear analytical problems and technical solutions /li /ulh3Additional Qualifications /h3ulliStrong communication and collaboration skills, with the ability to manage direct communication with immediate project stakeholders /liliAbility to actively integrate feedback from technical peers and junior team members /liliProactive mindset to identify potential optimizations or new analytical approaches within the project scope /liliAbility to work autonomously to achieve goals and deliver results, while actively collaborating with team members to meet shared team objectives. /liliExperience in healthcare, pharmaceutical, or other regulated industries is a plus /liliThis vacancy will remain open until August 20 /li /ulpThis vacancy will remain open until August 20 /ppTo ensure a fair selection process, applications will be reviewed and candidates will be shortlisted only after that date /ph3Who we are /h3pA healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a general impact. /ppLet’s build a healthier future, together. /ppbRoche is an Equal Opportunity Employer. /b /p /p #J-18808-Ljbffr

📌 Data Scientist - Enterprise Search (Madrid)
🏢 Roche
📍 Madrid