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ClearScore is seeking a Senior Full Stack Data Scientist to join the Data & Analytics team, working within the Global Targeting initiative. The role focuses on developing end-to-end data science and machine learning solutions to enhance user experience through dynamic content targeting and prioritization across multiple markets.
Key responsibilities include leading the complete lifecycle of data science projects from business concept through impact evaluation, collaborating with cross-functional stakeholders to align data science initiatives with business needs, and establishing quality standards for production models by scrutinizing data, features, and model behavior. You will identify and implement process improvements in model development and management, drive strategic utilization of model outputs for decision-making, and explore emerging developments at the intersection of traditional machine learning and AI.
Required skills include advanced Python and SQL proficiency, strong understanding of dbt and analytics engineering for feature engineering, in-depth knowledge of statistical and machine learning techniques, and capability across the full model lifecycle including deployment and maintenance in production environments. You should demonstrate strong critical thinking with data, ability to understand users and products deeply, and capacity to explain complex findings to both technical and non-technical audiences.
Preferred qualifications include experience with AI tools in daily workflows, real-time/near real-time inference solutions, Databricks deployment, product-focused environments with cross-functional collaboration, understanding of consumer lending and credit strategies, and a postgraduate degree in a STEM field.
ClearScore is the UK's leading consumer credit marketplace and #1 credit score app, with over 20 million users globally across the UK, South Africa, Australia, and Canada. The company has established relationships with 50+ major UK lenders and serves as a trusted tool for customers managing credit and making informed financial decisions.
