Senior Data Scientist II

Responsibilities

• Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications.
• Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, and question answering.
• Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks.
• Integrate scientific metadata, ontologies, and taxonomies into scalable AI workflows.
• Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality and reliability.
• Write production-ready Python code and partner with engineering teams to deploy solutions at scale.
• Provide technical leadership and mentoring to support high-quality delivery.

Requirements

• Practical experience in data science, AI, machine learning, NLP, or information retrieval.
• Strong hands-on experience building generative AI and retrieval-based systems in applied environments.
• Expertise working with LLMs, including fine-tuning, prompt engineering, and grounding strategies.
• Strong Python skills and solid machine learning fundamentals.
• Experience working with large-scale text or content-rich datasets.
• Experience with RAG, semantic, vector, or hybrid search.
• Familiarity with cloud platforms and modern software engineering practices.
• Strong communication, collaboration, and mentoring skills.

Benefits

• Flexible working hours to support productivity and work-life balance.
• Wellbeing initiatives and study assistance.
• Shared parental leave and sabbatical opportunities.
• Country-specific benefits tailored to your location.

About the Company

Elsevier is a global leader in advanced information and decision support for science and healthcare. We combine high-quality content with powerful analytics to transform complexity into clarity, delivering mission-critical insights that help professionals make better decisions. By harnessing innovative technologies, we support researchers, healthcare professionals, and educators in advancing science and improving health outcomes for the benefit of society.