<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p>Senior Data Scientist</p><p><br/></p><p>A leading fintech organisation in the digital payments and financial services sector is looking for a Senior Data Scientist. This role focuses on developing sophisticated risk and fraud machine learning models to support online payment products and transaction security. You will join a cross-functional team dedicated to analysing payment histories and building predictive models to enhance consumer trust.</p><p><br/></p><p>What you'll be doing</p><p>• Manage the full modelling lifecycle from data cleaning and feature engineering to training.</p><p>• Identify potential process bottlenecks and implement strategies to mitigate modelling pitfalls.</p><p>• Perform high-quality coding and engage in peer code reviews to ensure system efficiency.</p><p>• Collaborate with cross-functional teams to drive innovation in fraud detection.</p><p>• Deploy machine learning models into production environments for real-time application.</p><p><br/></p><p>What we're looking for</p><p>• Educational background in a STEM field such as Computer Science, Mathematics, or Statistics.</p><p>• Minimum of 4 years of professional experience in data science roles.</p><p>• Proficiency in Python, SQL, Spark, Databricks, and Docker.</p><p>• Practical experience working with transactional databases and unstructured data.</p><p>• Strong interest in the risk and fraud domain with a focus on production-ready code.</p><p><br/></p><p>What's on offer</p><p>• Flexible working arrangements supporting remote work.</p><p>• Access to comprehensive internal training sessions and customised development plans.</p><p>• Support for health and wellbeing through various sports and leisure activities.</p><p>• Corporate employee benefits and discount programs.</p><p>• Opportunities for professional growth within a large, international corporate group.</p><p><br/></p><p>Apply via Hyra to be considered for this opportunity.</p> </div>