Senior Data Scientist - Credit Risk London – Hybrid Up to £80,000 Benefits Our client is a high-growth fintech revolutionising consumer finance through cutting-edge technology and data science. Backed by top investors and consistently rated as a market leader, they are transforming the way loans, credit cards, and financial products are delivered - offering customers faster, more transparent, and seamless experiences. As a Senior Data Scientist, you’ll play a pivotal role in developing proprietary risk models that drive strategic decision-making and product innovation. Working within a multidisciplinary team, you’ll apply advanced machine learning techniques to improve underwriting quality and enhance financial product offerings. Key Responsibilities Build and refine credit risk models using state-of-the-art ML techniques. Translate business challenges into data-driven solutions. Deploy and monitor models autonomously, without reliance on a separate ML engineering team. Clearly communicate insights and recommendations to stakeholders. What We’re Looking For Strong Python experience, with knowledge of ML techniques. Familiarity with the credit industry, financial products, and data-driven risk modelling. Experience across Credit modelling, lending, PoD etc Strong educational background from a top university in a STEM subject A proactive problem solver who thrives in a fast-paced environment. Strong communication skills and a collaborative mindset. Interest in ML engineering and data engineering. Strong SQL skills. If this role looks of interest to you, please apply below, or reach out to Joseph Gregory