RLDatix is on a mission to transform care delivery worldwide, ensuring every patient receives the safest, highest-quality care. Through our innovative Healthcare Operations Platform, we're connecting data to unlock trusted insights that enable improved decision-making and help deliver safer healthcare for all. At RLDatix were making healthcare safer, together. Our shared passion for meaningful work drives us, while a supportive, respectful culture makes it all possible. As a team, we collaborate globally to reach our ultimate goalhelping people. Were searching for a UK-based Senior Data Scientist to join our Data Platform team, so that we can build and scale innovative data science solutions that power critical decisions across our organization. The Senior Data Scientist will lead the development of machine learning models and intelligent data systems to support RLDatixs mission of enabling safer, more efficient healthcare worldwide. How Youll Spend Your Time Designing and developing machine learning models, large language models, and algorithms to deliver meaningful insights from large datasets. Establishing and maintaining ETL workflows and data pipelines in order to ensure data consistency, quality, and usability across the platform. Optimizing machine learning models and AI systems to maximize performance, scalability, and real-world accuracy. Explaining complex data science concepts in order to engage stakeholders and promote data-driven decision-making across departments. Collaborating with engineers, QA, and product teams to align models and infrastructure with business goals. What Kind of Things Were Most Interested in You Having A bachelor's or master's degree in computer science, Data Science, AI, Software Engineering, or a related field is preferred. 5 years of experience in a data-science related role, with hands-on experience in data science engineering. Proficiency in programming languages such as Python and SQL. Experience with data processing and analysis tools and technologies like TensorFlow, Keras, Scikit-learn. Strong understanding of large language models (LLMs) and machine learning (ML) algorithms and techniques. Familiarity with data visualization tools such as Power BI. Solid understanding of statistical analysis and hypothesis testing. Ability to work with structured and unstructured data sources. Knowledge of cloud computing platforms (AWS, Azure) and data security measures, including compliance with data governance standards and big data technologies. Experience with Databricks and Mosaic AI is plus. By enabling flexibility in how we work and prioritizing employee wellness, we empower our team to do and be their best. RLDatix is an equal opportunity employer, and our employment decisions are made without regard to race, color, religion, age, gender, sexual identity, national origin, disability, handicap, marital status or any other status or condition protected by UK law. ADZN1_UKTJ