2 of 2 Permanent Data Science Jobs in Wilmslow

Role: Operational Data Manager Location: Wilmslow (Hybrid) We are Citation. We are far from your average service provider. Our colleagues bring their brilliant selves to work every day and we create an environment where they can shine. We have been proudly delivering valuable HR and Health and Safety services to SMEs across the UK for over 20 years. Passionate … they do and smile whilst they are doing it. As we continue our exciting international growth journey, we’re looking for a highly organised, strategic, and technically strong Operational Data Manager to lead our data operations and ensure the business continues to make smart, data-driven decisions. The Role As Operational Data Manager, you’ll own … the creation, improvement, and automation of data processes from start to finish — making sure data is clean, connected, and driving smart business decisions. You’ll work with a wide range of stakeholders and technical teams, translating requirements into scalable, efficient solutions that make our operations faster, smarter, and more data-driven. Key Responsibilities: Design, document, and manage More ❯

we deliver innovative development programmes that help businesses thrive and individuals grow. We work in partnerships with organisations across the UK to upskill and reskill talent in Sales, Marketing, Data, AI, Tech, Cyber Security and Digital Learning. Our mission is to empower people with skills that drive real business impact. We combine expert coaching and training, high quality learning … quality assurance, and design of apprenticeship curricula for Level 3 and Level 4 AI programmes. You will ensure our programmes reflect the latest advancements in artificial intelligence, machine learning, data science, and related technologies. You will act as a subject matter expert, supporting sales enablement and commercial growth, and embedding innovation and measurable impact for learners, employers, and … from concept to delivery, ensuring alignment with apprenticeship standards, EPA requirements, and quality benchmarks. Integrate advanced AI specialisms, including machine learning, deep learning, natural language processing, computer vision, and data engineering, into curriculum content. Ensure curriculum covers practical skills in Python, TensorFlow, PyTorch, cloud AI platforms (Azure, AWS, GCP), and ethical AI practices. Monitor sector and regulatory trends in More ❯