🇳🇱 North Holland, Netherlands · 10h ago
Data Scientist I
Wiraa
LinkedInseniorEnglish-friendly
About The CompanyElsevier is a renowned global leader in information and analytics, dedicated to supporting researchers, healthcare professionals, and organizations in advancing science and improving health outcomes. With a rich publishing heritage, Elsevier leverages extensive data sets and cutting-edge analytics to foster innovative research, health education, and clinical excellence. Our commitment to societal impact is reflected in our mission to address the world's grand challenges through technology and knowledge sharing. We operate across multiple regions, including London Wall and Amsterdam, providing a stimulating environment that values innovation, collaboration, and professional growth.About The RoleWe are seeking a highly experienced Principal Data Scientist specialized in AI, NLP, and Generative AI to join our dynamic Data Science Life Sciences team. In this pivotal role, you will provide strategic technical leadership and guidance across multiple data science teams, shaping the development and deployment of advanced AI solutions for knowledge discovery and decision support. Your expertise will influence the design of scalable, reliable, and innovative AI systems, including large language models, retrieval-augmented generation, and semantic search capabilities. While your primary focus will be on setting standards, governance, and architectural direction, you will also engage hands-on in high-priority projects when necessary. This role offers an excellent opportunity to influence the future of AI applications within the life sciences domain, working closely with senior management and cross-functional teams to translate complex scientific challenges into practical AI-driven solutions.QualificationsExtensive experience in data science, AI, machine learning, NLP, or related fields, with senior or principal level expertiseProven hands-on experience developing AI/ML, NLP, generative AI, and retrieval systemsDeep understanding of large language models, including fine-tuning, prompt engineering, and grounding strategiesDemonstrated ability to define and implement technical standards, evaluation frameworks, and governance processesKnowledge of AI governance, model risk, and compliance requirementsStrong programming skills in Python and familiarity with modern AI/ML frameworksExperience working with large-scale text datasets and content-rich data environmentsExpertise in RAG, semantic, vector, or hybrid search techniques and experimentation methodologiesFamiliarity with cloud computing platforms and modern software engineering practicesExcellent communication skills with the ability to engage effectively with both technical and non-technical stakeholdersLeadership qualities with experience mentoring teams and influencing cross-functional collaborationsResponsibilitiesDefine and oversee the technical direction and architectural standards for AI, NLP, and generative AI solutions across multiple teamsGuide integration of scientific metadata, ontologies, taxonomies, and knowledge assets into AI workflows, promoting reusable and standardized patternsReview code, architecture, and technical decisions to ensure production readiness, providing hands-on support for high-priority initiativesUnify disparate technical approaches into shared frameworks, reducing duplication and encouraging best practicesEstablish and maintain shared standards, evaluation, and monitoring frameworks to ensure quality, reliability, and trustworthinessLead or contribute to AI governance, responsible AI practices, model risk assessments, and regulatory compliance activitiesMentor and coach data science teams, fostering capability development and consistent delivery standardsRepresent the data science function in senior management forums, communicating strategy, risks, and progress effectivelyCollaborate with cross-functional teams to translate complex scientific challenges into innovative AI solutionsBenefitsFlexible working hours to promote work/life balanceComprehensive wellbeing initiatives and support programsShared parental leave, study assistance, and sabbatical optionsOpportunities for professional development and career growthCollaborative and inclusive work environment with a focus on innovationEqual OpportunityElsevier is an equal opportunity employer committed to fostering an inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, age, disability, sexual orientation, or any other characteristic protected by law. We believe diversity enriches our organization and enhances our ability to innovate and serve our global community.Sourced from LinkedIn. Relocantly aggregates public job postings; apply on the original site.