Data Scientist
il y a 21 jours
London
Data Scientist Location: London (Hybrid - 2-3 days on-site)Salary: £65,000-£75,000 + benefits The Role We are working with a well-established financial services organisation undergoing a significant investment in its data and AI capabilities. They are looking for a hands-on Generative AI Data Scientist to help drive the development and deployment of GenAI solutions across the business. This role is focused on practical application - building and scaling real-world use cases rather than purely research-led initiatives. You will work on a variety of projects, including intelligent automation, document processing, internal copilots, and customer-facing AI tools, leveraging large language models and modern machine learning techniques. While the organisation operates in a regulated environment, they are open to candidates from a range of industry backgrounds, financial services experience is beneficial but not essential. Key Responsibilities • Design, build, and deploy Generative AI solutions using large language models (LLMs), • Develop and optimise prompt engineering strategies for production use cases, • Build end-to-end pipelines (RAG, embeddings, vector search) for scalable GenAI applications, • Work with both structured and unstructured datasets, including text-heavy data, • Collaborate closely with data engineering and software teams to productionise solutions, • Identify high-impact use cases and contribute to the broader AI roadmap, • Ensure solutions align with governance, risk, and compliance standards, • Communicate insights and outputs clearly to both technical and non-technical stakeholdersRequired Skills & Experience, • 3+ years' experience in Data Science / Machine Learning roles, • Strong Python and SQL skills with hands-on experience building models and data pipelines, • Proven experience working with Generative AI (LLMs, prompt engineering, embeddings), • Experience using frameworks such as LangChain, LlamaIndex, or similar, • Experience integrating with model APIs (e.g. OpenAI or open-source alternatives), • Exposure to cloud environments (AWS, GCP or Azure), • Strong problem-solving skills and a pragmatic, delivery-focused mindset, • Ability to work in cross-functional teams within a fast-paced environmentNice to Have, • Experience within financial services or other regulated industries, • Exposure to vector databases (e.g. Pinecone, Weaviate, FAISS), • Experience with MLOps / LLMOps and deploying models into production, • Familiarity with LLM fine-tuning, evaluation, or guardrailing techniques, • Experience building internal tools such as copilots or knowledge assistantsWhat's on Offer, • Salary up to £75,000 depending on experience, • Generous benefits package, • Hybrid working (London-based), • Opportunity to join a well-established business investing heavily in AI, • High-impact role with real ownership and visibility To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.