Data Scientist

📋 Description Execute end-to-end data science projects from problem definition to deployment. Build and optimise ML and NLP solutions that drive client decisions. Design scalable data pipelines using structured and unstructured data. Apply LLM APIs to analytics deliverables, prompts, RAG, and vector search. Source and normalise data from REST/GraphQL APIs; manage auth and pagination. Create reusable tools and collaborate with senior teams to deliver impact. 🎯 Requirements Extensive experience in Data Science, ML, AI/NLP or related fields. BSc or advanced degree in Statistics, Physics, Economics, Mathematics, CS, or related field. Strong Python and SQL; relational DBs, schemas, data models; PowerBI/Tableau. Experience building and deploying ML/NLP solutions in production. Hands-on experience with LLMs and GenAI platforms (OpenAI, Anthropic, Azure OpenAI). Familiar with RAG, vector databases, prompt engineering; strong cross-functional comms. 🎁 Benefits Build AI products used in real-world healthcare. Work on GenAI initiatives with autonomy. Remote-first, flexible working environment. Competitive salary, benefits, and private medical insurance. Collaborative culture focused on innovation, learning, and impact.