Data Scientist

Role Title: Data Scientist (Generative AI)Business Unit/Segment: Data ManagementLocation: London, United Kingdom (Flexible Hybrid Working)Employment Type: PermanentAbout the RoleWe are seeking a talented and forward-thinking Data Scientist with expertise in Generative AI to join our Data Science team. In this role, you will lead the design, development, and deployment of innovative GenAI solutions that solve real business challenges. You will work with cutting-edge technologies, including Large Language Models (LLMs), prompt engineering, fine-tuning, embeddings, and Retrieval-Augmented Generation (RAG), to deliver scalable, enterprise-grade AI applications.The ideal candidate will have a strong background in machine learning and natural language processing (NLP), together with hands-on experience using modern GenAI frameworks and platforms such as OpenAI, LangChain, Hugging Face, Vertex AI, Amazon Bedrock, or similar technologies.Key ResponsibilitiesAs a Data Scientist, you will Design, develop, and deploy Generative AI solutions powered by Large Language Models (LLMs) to address business challenges across areas such as customer service, document automation, summarisation, and knowledge retrievalFine-tune and adapt foundation models using domain-specific datasets to improve performance and business relevanceBuild and optimise Retrieval-Augmented Generation (RAG) pipelines using embedding models and vector databases such as FAISS, Pinecone, or ChromaDBCollaborate with Data Engineering, MLOps, and Product teams to develop and deploy end-to-end AI applications and APlsDesign and optimise prompts and prompt workflows using tools such as LangChain, LlamaIndex, PromptFlow, or equivalent frameworksEvaluate model performance, monitor quality, mitigate bias, and optimise solutions for accuracy, latency, scalability, and costStay current with the latest developments in LLMs, transformer architectures, and the rapidly evolving Generative AI landscapeEssential Skills and ExperianceTo be successful in this role, you will have5+ years' experience in Data Science and Machine Learning, including at least 1 year of hands-on experience delivering LLM or Generative AI solutionsStrong Python programming skills, with experience using libraries such as Transformers, LangChain, scikit-learn, PyTorch, or TensorFlowHands-on experience working with models such as OpenAI GPT, Claude, Mistral, Llama, or similar foundation modelsA solid understanding of vector search, embedding models (e.g. BERT, Sentence Transformers), and semantic search techniquesExperience building scalable AI solutions and deploying them through APIs or web applications using frameworks such as FastAPI, Streamlit.Experience working with cloud platforms (AWS, Azure, or Google Cloud) and familiarity with MLOps principles and best practicesExcellent communication and stakeholder management skills, with the ability to translate complex technical concepts into clear business outcomesDesirable Skills and ExpereinceThe following would be advantageousExperience with prompt tuning, few-shot learning, LoRA, or other parameter-efficient fine-tuning techniquesUnderstanding of data privacy, security, and responsible AI considerations when developing Generative AI applicationsExperience delivering AI solutions within enterprise environments, with knowledge of software development lifecycle (SDLC) practices and enterprise architectureExperience working in regulated industries such as financial services, insurance, or healthcare