Senior Product Designer, Germany (Remote)
Molecule AG
Lead product design for Molecule’s web and mobile tools supporting decentralized science. Build the design system, prototype new workflows, and guide implementation across the product team.
Open
RELX develops information-based analytics and decision tools for professional and business customers worldwide. Its products combine specialized content, data, and technology to support better decisions and stronger outcomes across Risk, Scientific, Technical & Medical, Legal, and Exhibitions. RELX also operates across consulting, healthcare, and insurance-related markets, helping organizations improve productivity, manage risk, advance research, support legal work, and conduct more effective business transactions.
Senior Data Scientist, AI and Scientific Search – RELX | Amsterdam Onsite
Lead production AI, LLM, and knowledge discovery systems for Elsevier’s scientific research and healthcare information platform. Build reliable search, retrieval, and decision-support capabilities for complex scientific content.
Description
- Lead the design, development, and deployment of advanced AI, machine learning, NLP, and generative AI solutions
- Create LLM applications, semantic search, RAG pipelines, agentic workflows, and scientific knowledge discovery systems
- Improve intelligent research and decision-support products with embeddings, retrieval pipelines, prompt engineering, knowledge graphs, ontologies, citation networks, and scientific content
- Develop evaluation, experimentation, and monitoring approaches for AI and search systems
- Measure relevance, grounding, hallucination detection, model performance, reliability, scalability, cost, and user impact
- Partner with engineering, product, research, and subject-matter experts to bring AI solutions into production
- Help shape technical strategy and product direction
- Coach data scientists while advancing responsible AI, experimentation, and continuous improvement
- Direct complex AI and data science programmes from initial concept through production
Requirements
- Substantial experience applying data science, machine learning, AI, NLP, information retrieval, and statistical methods to scalable production systems
- An advanced degree or equivalent practical expertise in a quantitative discipline
- Strong hands-on capability in machine learning, deep learning, large language models, generative AI, semantic search, RAG, embeddings, ranking, and AI evaluation
- Proficiency in Python and established data science tools and frameworks
- Background delivering production-quality software with large structured and unstructured datasets
- Experience deploying systems with modern cloud, software engineering, and MLOps practices
- Experience with Python, SQL, object-oriented programming, testing, CI/CD, DevOps, APIs, databases, Git, Jira, GitHub, and GitLab
- Experience using Scikit-learn, PyTorch, TensorFlow, Hugging Face, LangChain, Databricks, Spark, vector databases, AWS or Azure, MLflow, and Kubeflow
- Strong communication, analytical, problem-solving, and leadership abilities
- Ability to turn complex business needs into scalable AI solutions, guide technical decisions, mentor colleagues, and deliver measurable business value
Benefits
- Wellbeing support
- Flexible working arrangements
- Shared parental leave
- Study assistance
- Sabbatical opportunities
- Continued learning and development opportunities
- Benefits that vary by country
- Accommodation or adjustment support throughout the hiring process
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