<p><b>What role you will play in team:</b> Develop and implement data-driven solutions to improve credit risk management.</p><p><b>What you will do:</b> Develop machine learning models for credit risk assessment, analyze large datasets, and improve model accuracy.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for credit risk prediction.</li><li>Analyze large datasets to identify patterns and insights.</li><li>Improve the accuracy and efficiency of existing credit risk models.</li><li>Collaborate with other data scientists and stakeholders.</li><li>Communicate technical findings to non-technical audiences.</li><li>Stay updated on advancements in data science and machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in Data Science, Statistics, or related field.</li><li>2-4 years of experience in data science or machine learning.</li><li>Strong programming skills in Python or R.</li><li>Expertise in machine learning algorithms and statistical modeling.</li><li>Experience with large datasets and cloud computing platforms.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for career growth.</li><li>Innovative and challenging work environment.</li><li>Access to cutting-edge technology and resources.</li></ul></p><p><b>A Day in the Life:</b> You will be focused on developing machine learning algorithms, analyzing data, building models, and collaborating with team.</p>