<p><strong>What role you will play in team:</strong> You will be part of a team developing and implementing machine learning models for financial risk assessment.</p><p><strong>What you will do:</strong> Develop predictive models using large datasets, apply statistical modeling techniques and present findings to senior management.</p><p><strong>Key responsibility:</strong><ul><li>Develop and deploy machine learning models.</li><li>Perform data analysis and feature engineering.</li><li>Apply statistical modeling techniques.</li><li>Present findings and recommendations to stakeholders.</li><li>Collaborate with other data scientists and engineers.</li><li>Stay abreast of the latest advancements in machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Data Science, Statistics, or related field.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Strong understanding of statistical modeling.</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 collaborative and supportive work environment.</li><li>Medical and other employee benefits.</li></ul></p><p><strong>A Day in the Life:</strong> A day involves data analysis, model building, testing and validation, collaboration with team members, and reporting to senior management.</p>