About our TeamData Science Life Sciences is a diverse team focusing on GenAI, ML, NLP. We mainly develop best-in-class enrichment pipelines for Elsevier’s life science .About the RoleAs Principal Data Scientist (AI/NLP & Generative AI), you will provide technical and thought leadership across multiple data science teams, shaping how we design and deliver advanced AI, NLP, and generative AI solutions for knowledge discovery and decision support. Your focus is on setting technical standards, quality, and governance across teams, representing data science in senior forums, and staying close enough to the work to guide architecture and delivery decisions. Hands on involvement will be occasional, on high priority or high risk work.Responsibilities:Technical Direction & OversightSet technical direction and architectural standards for AI/ML, NLP, and generative AI solutions across teams, including LLM powered workflows, RAG systems, retrieval, ranking, and recommendation capabilities.Guide how scientific metadata, ontologies, taxonomies, and knowledge assets are integrated into AI workflows, favouring reusable, consistent patterns over one off implementations.Standards, Quality & GovernanceDefine and maintain shared standards, evaluation, and monitoring frameworks that ensure consistent quality, trust, and reliability across all teams.Lead or contribute to AI governance and compliance activities, including responsible AI practices, model risk assessment, and regulatory adherence.Conduct or oversee technical reviews and quality audits, identifying gaps and driving remediation.Leadership & Stakeholder EngagementMentor and coach across multiple data science teams to raise capability and support consistent, high quality delivery.Represent the data science function in senior management and governance meetings, communicating strategy, risk, and progress to non technical stakeholders.Requirements:Significant experience in data science, AI, machine learning, NLP, information retrieval, or a related field, including operating at a senior or principal level.Strong hands on background building AI/ML, NLP, generative AI, and retrieval based systems, with the ability to step into technical detail when required.Expertise with LLMs, including fine tuning, prompt engineering, grounding strategies, and responsible AI practices.Demonstrated experience defining technical standards, evaluation frameworks, or governance processes across teams, not just within a single project.Working knowledge of AI governance, model risk, and compliance requirements.Strong Python skills and solid machine learning fundamentals.Experience with large scale text or content rich datasets and modern AI/ML frameworks.Experience with RAG, semantic, vector, or hybrid search, and experimentation approaches that measure user impact.Familiarity with cloud platforms and modern software engineering practices.Work in a Way That Works for YouWe promote a healthy work/life balance across the organisation. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.Working PatternWorking flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productiveAbout the BusinessA global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.AmsterdamType: Full time
Data Scientist (Python Expert) in London employer: Elsevier
At Elsevier, we pride ourselves on being an excellent employer, particularly for our Java Software Engineer role in Oxford. Our vibrant work culture fosters collaboration and innovation, while our commitment to employee growth is evident through continuous learning opportunities and flexible working arrangements that promote a healthy work-life balance. Join us to be part of a team that values your contributions and supports your professional journey in the exciting field of scientific knowledge sharing.
