Senior Risk Data Scientist

**Senior Data Scientist** London (Hybrid) \| £60,000 to £90,000 This is an exciting opportunity to join a fast\-growing fintech business where data science sits at the heart of commercial decision\-making. You'll work on high\-impact machine learning solutions that directly influence lending, risk, and business performance while collaborating with a highly skilled, data\-driven team. **The Company** Our client is a high\-growth financial technology organisation delivering innovative embedded finance solutions to businesses across multiple international markets. They have built a strong reputation for combining advanced technology with data\-led decision\-making. With ambitious growth plans and a collaborative culture, they offer an environment where data professionals can make a visible impact. **The Role** As a Senior Data Scientist, you will play a key role in developing machine learning and predictive analytics solutions that support critical business and risk decisions. Responsibilities include: * Analysing large and complex datasets to identify trends, patterns, and actionable insights. * Building and deploying machine learning models to support forecasting, risk assessment, fraud detection, and customer outcomes. * Developing predictive models that drive commercial and operational decision\-making. * Creating dashboards and visualisations to communicate findings to technical and non\-technical stakeholders. * Partnering with product, engineering, and commercial teams to embed data\-driven solutions into products and processes. * Working closely with data engineering teams to optimise data infrastructure and analytical workflows. * Supporting best practices across machine learning operations and model lifecycle management. **Your Skills \& Experience** * Strong commercial experience as a Data Scientist within a data\-rich environment. * Advanced Python and SQL skills for analysis, modelling, and data manipulation. * Hands\-on experience developing and deploying machine learning models. * Strong understanding of predictive analytics and statistical modelling techniques. * Experience translating complex analytical findings into clear business recommendations. * Ability to work effectively with cross\-functional stakeholders across technical and non\-technical teams. * Experience working with financial, lending, payments, or transactional data is advantageous. * Strong problem\-solving skills and the ability to navigate ambiguity in a fast\-paced environment. **How to Apply** If you're interested in applying advanced machine learning and data science techniques within a fast\-growing fintech environment, please submit your CV for immediate consideration.