3 of 3 Data Science Jobs in Woking

continually refine the AI initiatives portfolio and roadmap for the group. Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance. Define clear success measures for every proof of concept (PoC) and MVP, including KPIs, leading indicators, and decision gates to continue … MVPs (8–16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring ...

core model capabilities and protocols. Leadership & Collaboration - Collaborate on UI/UX integration, code reviews, architecture and roadmap decisions, and cross-functional work with data science, product, and commercial teams. Data Engineering - Design and maintain efficient data pipelines, ensuring smooth data flow between systems ...

deployments of ML models (batch and/or real-time) Putting robust CI/CD pipelines in place for ML workflows Partnering closely with Data Scientists to move models from notebooks into production Establishing best practices around model governance, monitoring, retraining, and environments Integrating ML platforms with Databricks … productionising ML models across multiple client or project environments Background in one or more of: MLOps/ML Engineering DevOps with ML platforms Data Science with a strong production focus Experience designing, supporting, and operating ML systems in production Technical environment (experience expected across most of these) MLflow ...