2 of 2 Part-Time Data Engineering Jobs in West Yorkshire

At Morrisons, our Data, Analytics & AI team plays a vital role in driving decisions across the business by unlocking the power of our data. Whether it's enabling quick insight through self-serve tools like Looker or delivering deeper analysis through exploring the patterns in our data, we help teams across the business solve problems, drive performance, and … create value. As a Lead Data Scientist, youll lead a small but impactful team of data scientists and analysts, helping shape and deliver a roadmap of data science products and initiatives that align with our business goals. Youll work closely with stakeholders across the organisation to understand their challenges and apply cutting-edge analytics to solve them. … This is a hands-on role with technical delivery at its core, combined with leadership and strategic direction. What youll be doing: Lead, mentor and develop a team of Data Scientists and Analysts, setting clear objectives and supporting professional growth Own the delivery of complex data science products and models that support strategic business objectives Shape and contribute More ❯

making process, with the founders having had first hand experience of the lengthiness and challenges of deal processes in the past. Their stack spans across back end, front end, data and crucially AI. This is a great opportunity for an entrepreneurial software engineer who wants to play a part in shaping the technical vision of this business and work … on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration … Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape More ❯