Data Scientist

A Data Scientist in London will develop machine learning models for purposes such as churn prediction, purchase propensity, and lifetime value analysis. They will work with large datasets to identify patterns, build predictive models, and support business decision-making by translating insights into actionable strategies. The role requires proficiency in Python and SQL, along with a strong understanding of machine learning techniques such as regression, clustering, and tree-based models. The candidate should possess a relevant academic background, ideally at master's or doctoral level, and be familiar with modern approaches including deep learning and sequence models. Collaboration with cross-functional teams and effective communication of insights are integral components of the role. The position offers opportunities for growth into advanced technical approaches and data-driven strategic planning.