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You will work closely with business stakeholders, data engineers, and software development teams to design, develop, and deploy scalable analytical solutions while championing best practices in data science and advanced analytics.\nKey Responsibilities:\nMonitor collections and payment performance and identify opportunities for improvement\nAnalyse data and provide insights to support business decisions\nDevelop and maintain reports, dashboards, and performance metrics\nTest and optimise collection strategies to improve recovery rates\nIdentify process inefficiencies and recommend improvements\nSupport initiatives that reduce costs and improve operational efficiency\nEnsure processes comply with relevant regulations and internal policies\nWork closely with Operations, Risk, Finance, Data, and Technology teams\nAssist with the implementation of new tools, systems, and automation projects\nPresent findings and recommendations to management and key stakeholders\n Job Experience and Skills Required:Education:\nBachelor's Degree in Data Science, Computer Science, Mathematics, Statistics, Information Systems, Information Technology, or a related quantitative field.\nPostgraduate qualification (Honours or Master's Degree preferred)\nExperience:\nProven experience applying machine learning, predictive modelling, deep learning, statistical analysis, and data mining techniques to solve business challenges\nAdvanced proficiency in Python, SQL, and modern data science tools and frameworks\nExperience leading projects and mentoring junior team members\nExposure to Agile, Lean, or Design Thinking methodologies\nStrong Microsoft Office Suite skills, including advanced Excel\nExperience working with large-scale datasets in a commercial, technology, financial services, retail, or enterprise environment is advantageous\nSkills:\nExceptional analytical, problem-solving, and critical-thinking skills\nAbility to interpret complex data and translate insights into meaningful business outcomes\nStrong leadership and mentoring capabilities\nExcellent communication and stakeholder engagement skills\nAbility to present technical concepts clearly to both technical and non-technical audiences\nHighly organised with strong attention to detail and quality\nCommercially minded with a strong understanding of business drivers and objectives\nAdaptable, innovative, and passionate about emerging technologies and data-driven decision-making\nProven ability to manage multiple priorities in a fast-paced environment\nCollaborative team player with strong relationship-building skills\nFor more exciting Actuarial and Analytics vacancies, please visit:Network Recruitment International - Finance Jobs\nI also specialise in recruiting in the following:\nActuarial: Life, Short-Term, Health, Pensions, and Quantitative\nData & Analytics: Data Scientists, Data Analysts (Python, R, SQL, Machine Learning)\nRisk: Credit Risk, Market Risk, Model Risk, and Operational Risk Analysts\nPricing: Specialists in Insurance and Financial Products\nAI & Machine Learning: ML Ops, NLP, Predictive Modelling Data Scientists\nQuantitative: Experts across Banking, Insurance, and FinTech\nIf you have not had any response in two weeks, please consider the vacancy application unsuccessful. 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