Hiring: Data Scientist III Company: Elsevier Location: London, England, United Kingdom Job Posted Time: 2026-09-16 13:43:06 Employment Type: Hybrid Target Skills & Keywords : AI, AWS, Agile, Azure, CI/CD, Data Pipeline, Databricks, Deep Learning, Git, Hadoop, Hugging Face, Kubeflow, LLM, LangChain, MLOps, MLflow, Machine Learning, Matplotlib, Microservices, NLP, NumPy, Pandas, PyTorch, Python, REST, SQL, SageMaker, SciPy, Spark, TensorFlow, Unit Testing, scikit-learn About the job Required Skills: •As a Data Scientist at Elsevier, you will design, build, evaluate, and productionize the AI and machine learning solutions that power the scientific and knowledge-discovery applications used by research and healthcare communities around the world. •Work with some of the richest and most challenging data anywhere — enormous, heterogeneous, and intellectually deep: scientific literature, raw research datasets, structured and unstructured content, metadata, citations, ontologies, knowledge graphs, domain taxonomies, and large-scale behavioral and usage signals. •Pair strong data science fundamentals with the most capable modern AI: classical machine learning, deep learning, large language models, retrieval-augmented generation, semantic search, ranking, entity extraction, classification, recommendation, and evidence-grounded generative AI. •Own meaningful problems from day one — whether that means shaping a critical model component, designing an end-to-end AI capability, or driving the technical direction of complex data science solutions across teams. •We value practical problem-solving, scientific curiosity, engineering discipline, and the thoughtful use of technology. We don’t chase trends for their own sake. We choose the right method for the problem, measure impact rigorously, and build systems that are reliable, scalable, explainable, and genuinely useful in the real world. •Work on high-impact AI and data science that helps people explore, understand, connect, and act on complex scientific information. •In This Role You Will •Design and build machine learning, NLP, and generative AI systems for scientific discovery, knowledge extraction, decision support, and intelligent content understanding. Qualifications: •A background in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related quantitative field. •Strong Python skills and a habit of writing clean, maintainable, well-tested code. •A solid grasp of machine learning fundamentals, including supervised and unsupervised learning, feature engineering, model evaluation, model selection, and performance measurement. •Operational familiarity with common data science and ML tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib. •The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions. •Strong analytical thinking, problem-solving skills, and attention to quality. •Clear communication, with the ability to explain technical concepts, insights, and trade-offs to different audiences. •A collaborative approach to working with engineering, product, and business stakeholders. •A genuine interest in building production-ready systems that deliver real user value. •AI, NLP and Modern Machine Learning Experience Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!