Data Scientist

Data Scientist 📍 Location: London, United Kingdom 🏢 Industry: Information Services 💼 Work Setting: Hybrid Are you passionate about leveraging Artificial Intelligence, Machine Learning, and advanced analytics to build innovative solutions that transform how users discover, access, and interact with information? We are seeking a talented Data Scientist to design, develop, and optimize advanced AI-powered solutions that enhance search, knowledge discovery, intelligent retrieval, and decision-support capabilities. This role offers the opportunity to work with modern AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), and advanced machine learning techniques to deliver scalable, production-ready applications. Key Responsibilities Applied AI \& Machine Learning * Develop and enhance AI-powered applications that support intelligent information retrieval, knowledge discovery, question answering, summarization, and insight generation. * Build and improve multi-step AI workflows and intelligent automation solutions using modern orchestration frameworks. * Apply advanced techniques in machine learning, natural language processing, generative AI, semantic search, and information retrieval. * Contribute to prompt engineering, context optimization, grounding strategies, and AI output quality improvements. * Evaluate emerging AI tools, models, and technologies, providing recommendations for adoption and innovation. * Integrate structured and unstructured data sources into intelligent AI workflows to improve system performance and relevance. Search, Retrieval \& Intelligent Knowledge Systems * Design and optimize search and retrieval systems using lexical, semantic, vector, and hybrid search approaches. * Develop and enhance Retrieval-Augmented Generation (RAG) architectures to improve response quality and accuracy. * Experiment with embeddings, ranking models, retrieval strategies, and relevance optimization techniques. * Build knowledge discovery solutions that enable users to efficiently access and explore information. * Collaborate with engineering teams to deploy, scale, and monitor AI-driven solutions in production environments. AI Evaluation \& Experimentation * Design evaluation frameworks to measure the effectiveness, reliability, accuracy, and relevance of AI and search systems. * Develop benchmark datasets, testing methodologies, and performance measurement processes. * Conduct experiments, model evaluations, and controlled testing initiatives to validate solution effectiveness. * Analyze results and provide actionable recommendations to improve AI model performance and user outcomes. * Support responsible AI initiatives focused on trust, transparency, quality, and risk mitigation. Cross-Functional Collaboration * Partner with product managers, engineers, designers, researchers, and business stakeholders to deliver impactful AI solutions. * Translate complex technical findings into clear and actionable insights for technical and non-technical audiences. * Contribute to best practices, knowledge sharing, and continuous improvement initiatives within the data science organization. * Support projects through the full lifecycle, from research and prototyping to deployment and optimization. Required Qualifications Education * Master's degree or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, Information Retrieval, Natural Language Processing, or a related quantitative field. Experience * Approximately 2 to 4 years of professional experience in Data Science, Machine Learning, Artificial Intelligence, Natural Language Processing, Information Retrieval, or related disciplines. * Experience developing and deploying AI-powered applications in real-world or production environments. * Proven ability to independently execute technical projects and collaborate across cross-functional teams. * Experience conducting experimentation, model evaluation, and performance analysis. Technical Skills Strong experience with: * Large Language Models (LLMs) * Generative AI Applications * Retrieval-Augmented Generation (RAG) * Natural Language Processing (NLP) * Semantic Search and Information Retrieval * Search Ranking and Relevance Optimization * Vector Databases and Embedding Models * Prompt Engineering and Context Management * Machine Learning and Statistical Analysis * Python Programming Experience with modern AI and machine learning frameworks such as: * PyTorch * TensorFlow * Hugging Face * LangChain * LangGraph * Haystack * Distributed Machine Learning Platforms (e.g., Databricks or similar) Analytics \& Visualization * Experience using data visualization and analytics tools such as Tableau, Power BI, Matplotlib, Seaborn, or equivalent platforms. * Ability to communicate insights through dashboards, reports, and visual storytelling techniques. Preferred Qualifications * Experience building AI assistants, conversational AI solutions, or agent-based workflows. * Knowledge of search, recommendation, ranking, or retrieval systems. * Familiarity with knowledge graphs, ontologies, semantic enrichment, or metadata-driven applications. * Exposure to production machine learning systems, MLOps practices, and model deployment frameworks. * Research or practical experience in NLP, information retrieval, search technologies, or generative AI. * Experience working with large-scale content-rich, knowledge-intensive, or regulated data environments.