Data Scientist

Requirements: Proven experience (3+ years) in data science or advanced analytics roles Strong programming skills in languages such as Python (preferred) or R Proficiency in using data visualisation tools to communicate findings Experience with machine learning techniques and statistical modelling Experience working with large, complex datasets Ability to explain complex technical concepts to non-technical audiences Understanding of data ethics, privacy, and governance principles Experience working in cross-functional teams and collaborative environments Experience of applying version control in GitHub and of collaborating with others on codebases Strong problem-solving and critical thinking skills Written and verbal proficiency in English is required

Experience in a commercial, or education technology environment Familiarity with cloud platforms such as AWS, Azure, or GCP Experience with modern data engineering tools and frameworks Knowledge of Agile methodologies and product development lifecycles Publications, conference presentations, or contributions to the data science community Experience of working with ML or AI Engineers Resposibilites Develop and deploy advanced machine learning models and statistical analyses to solve complex business challenges Collaborate with data engineers to build scalable data pipelines for modelling and reporting Translate business requirements into data science problems with defined success metrics Prepare, clean, and manipulat