<p><b>What role you will play in team:</b> You will be part of a team building predictive models and analyzing large datasets to extract insights.</p><p><b>What you will do:</b>You'll be involved in data cleaning, feature engineering, model building, and deployment.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models to solve business problems.</li><li>Analyze large datasets to identify trends and patterns.</li><li>Communicate findings to both technical and non-technical audiences.</li><li>Work with stakeholders to define business problems and identify data requirements.</li><li>Stay current with the latest advancements in data science and machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries (scikit-learn, TensorFlow, etc.).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development.</li><li>A collaborative and supportive work environment.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves data analysis, model building, collaborating with team members and presenting findings.</p>