Data Scientist

Design and develop sophisticated machine learning models, large language models, and algorithms that directly impact healthcare decision-making and patient safety outcomes across global healthcare systems Establish and maintain critical ETL workflows and data pipelines that serve as the foundation for enterprise-wide data consistency, ensuring scalable and reliable data infrastructure for healthcare operations Optimize machine learning models and AI systems to achieve maximum performance and real-world accuracy, directly contributing to the safety and efficiency of healthcare delivery worldwide Translate complex data science concepts into actionable business insights, serving as a strategic bridge between technical capabilities and organizational decision-making processes Lead cross-functional collaboration with engineering, QA, and product teams to align advanced analytics solutions with business objectives and healthcare industry requirements

RLDatix is a established healthcare technology company specializing in healthcare risk management and patient safety solutions, serving healthcare organizations globally with a focus on connecting data to improve healthcare outcomes and operational efficiency Well-positioned as a specialized healthcare technology provider with a strong focus on patient safety and quality improvement, competing in the growing healthcare operations and risk management software market This UK-based role suggests RLDatix has significant European operations while maintaining global reach, offering opportunities to work on international healthcare challenges while being positioned in London's thriving health tech ecosystem Mission-driven culture focused on meaningful healthcare impact, with emphasis on collaboration, flexibility, and employee wellness, typical of mature health tech companies that balance purpose-driven work with competitive employee benefits