5 of 5 Remote/Hybrid Decision Tree Jobs in the UK

range of technical and non-technical stakeholders \n Practical experience of data science and predictive techniques such as regression modelling, cluster analysis, decision trees, etc. is desirable \n Strong understanding of data and systems integration and data pipelines including development approaches. \n Understanding of marketing and communication technologies ...

range of technical and non-technical stakeholders Practical experience of data science and predictive techniques such as regression modelling, cluster analysis, decision trees, etc. is desirable Strong understanding of data and systems integration and data pipelines including development approaches. Understanding of marketing and communication technologies, and modern personalised ...

actions for a range of technical and non-technical stakeholders \ NPractical experienceof data science and predictive techniques such as regression modelling, cluster analysis, decision trees, etc. is desirable \ NStrong understandingof data and systems integration and data pipelines including development approaches. \ NUnderstanding of marketing and communication technologies, and modern ...

operations, engineering, and imaging center partners to secure system access, credentials, and the technical information needed to build effective integrations. Document all workflows, decision logic, edge cases, and process maps with the explicit goal of creating the foundation for future agentic AI automation. THE TOP 5 THINGS … accuracy between RIS systems and Scan.com’s product, with clear escalation paths for failures. Comprehensive documentation of every integrated RIS workflow, decision tree, and edge case, creating a ready-made knowledge base for the transition to agentic AI automation. A clear technical roadmap, built in partnership with ...

Flexible working hours from the outset, including the opportunity for hybrid working Our initial product is the world’s first AI-powered clinical decision support software for early diagnosis of lung cancer, which enables every clinician, in every hospital, to manage their patients in the optimal way. About … size calculations within the context of study design and development Ability to use and re-fit models typically used in healthcare (logistic regression, decision trees, GLMMs, etc.), including implementing novel methods from publications. Own the data analysis for ongoing research projects Write and maintain code for large dataset ...