<p><strong>What role you will play in team:</strong> You will be part of a team that develops advanced analytical models to assess and predict credit risk.</p><p><strong>What you will do:</strong> You'll develop and implement machine learning models, analyze large datasets, and communicate findings to stakeholders.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models to predict credit risk.</li><li>Analyze large datasets to identify patterns and insights.</li><li>Develop and maintain data pipelines and infrastructure.</li><li>Communicate findings to stakeholders through reports and presentations.</li><li>Collaborate with other data scientists and business stakeholders.</li><li>Stay up-to-date on the latest advancements in machine learning and data science.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's or PhD in Statistics, Mathematics, Computer Science, or a related field.</li><li>2-4 years of experience in data science or a related field.</li><li>Proficiency in programming languages like Python or R.</li><li>Experience with machine learning algorithms and techniques.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career growth.</li><li>A dynamic and challenging work environment.</li><li>Work on cutting-edge technologies.</li></ul></p><p><strong>A Day in the Life:</strong>  You’ll be developing models, analyzing data, interacting with stakeholders and constantly learning.</p>