<p><strong>What role you will play in team:</strong> You will be a member of a dynamic team leveraging data science to improve customer experience, enhance risk management, and drive operational efficiency.</p><p><strong>What you will do:</strong> You will build and deploy predictive models, conduct data analysis, and visualize findings to inform strategic decisions.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for various applications.</li><li>Conduct thorough exploratory data analysis to understand data patterns.</li><li>Perform feature engineering and selection to improve model performance.</li><li>Evaluate model accuracy and reliability.</li><li>Collaborate with stakeholders to understand business needs and translate them into data science solutions.</li><li>Communicate findings clearly and effectively to both technical and non-technical audiences.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science).</li><li>1-2 years of experience in data science or a related role.</li><li>Proficiency in Python or R.</li><li>Experience with various machine learning algorithms (regression, classification, clustering).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and visualization skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career progression.</li><li>Positive and inclusive work environment.</li><li>Health insurance and other employee welfare programs.</li><li>Flexible work arrangements (where applicable).</li><li>Employee resource groups and social events.</li></ul></p><p><strong>A Day in the Life:</strong> Your day will involve a mix of data exploration, model building, collaboration with stakeholders, and communicating insights to drive informed business decisions.</p>