4 of 4 Data Science Jobs in Woking

chain. This role is fully remote in UK, with full work authorization already in effect. No Visa sponsorship is available. Job Description In a data-driven and AI-oriented environment, you will be responsible for the design, industrialization, and optimization of inter-application data pipelines. You will … involved in the entire data chain, from data ingestion to its use by data science teams and AI systems in production within a human-sized and multidisciplinary team. This role is within Process Intelligence (PI) team that combines functions such as Process Mining, Real Time Monitoring ...

deliver Homes for Students' enterprise AI strategy, embedding intelligent solutions across the organisation to enhance customer experience, improve operational efficiency, strengthen decision-making, deepen data insights, and drive commercial performance. As the senior authority on AI, data science, and automation, the role will translate business challenges into … senior advisor to the executive team on AI opportunities, risks, and investment decisions. Build, lead, and develop a high-performing AI and data science capability, including internal teams and external partners. Promote a culture of data-driven decision-making and responsible AI adoption across the organisation. Delivery ...

with Faculty, one of the UK's most established applied AI companies, delivering large-scale machine learning systems for organisations operating in highly complex, data-intensive environments. This is a senior engineering role for someone who wants to take ownership of end-to-end AI delivery. You'll lead … direction, influence architectural decisions, and act as a senior technical voice on mission-critical AI initiatives. You'll operate at the intersection of engineering, data science, and business delivery — helping organisations turn machine learning into reliable, scalable, and commercially valuable systems. Requirements: Extensive experience building, deploying, and operating ...

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 ...