<p><strong>What role you will play in team:</strong> You'll be part of a team leveraging data science to improve customer experience and operational efficiency within the financial services sector.</p><p><strong>What you will do:</strong> This includes developing predictive models, identifying patterns in customer behaviour, and using statistical methods to solve business problems.</p><p><strong>Key responsibility:</strong><ul><li>Develop and deploy predictive models for fraud detection and customer churn prediction.</li><li>Analyze customer data to identify trends and patterns.</li><li>Develop and implement solutions using statistical methods and machine learning algorithms.</li><li>Present findings and recommendations to stakeholders.</li><li>Collaborate with cross-functional teams to implement solutions.</li><li>Stay up-to-date with advances in data science and financial technology.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Statistics, Data Science, or a related quantitative field.</li><li>2-4 years of relevant experience.</li><li>Strong programming skills (Python or R).</li><li>Experience with machine learning algorithms and statistical modeling.</li><li>Excellent communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Highly competitive salary and benefits package.</li><li>Opportunities for career growth and advancement.</li><li>Collaborative and inclusive work environment.</li><li>Hybrid work model available.</li></ul></p><p><strong>A Day in the Life:</strong> Your day will include data exploration, model development, collaboration with team members, and presenting results to stakeholders.</p>