<p><b>What role you will play in team:</b>Develop and implement data-driven solutions to improve our life insurance operations.  Your work will directly impact key business metrics through advanced analytics and machine learning.</p><p><b>What you will do:</b>You will use your expertise in data science to identify opportunities for process improvement, fraud detection, and risk mitigation.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for fraud detection and risk assessment.</li><li>Analyze large datasets to identify trends and patterns.</li><li>Develop algorithms for predictive modeling and optimization.</li><li>Visualize and communicate findings to stakeholders.</li><li>Collaborate with other teams to improve data quality and accessibility.</li><li>Stay updated on the latest advances in data science and machine learning.</li><li>Maintain data integrity and confidentiality.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in data science, statistics, or a related field.</li><li>Strong programming skills (e.g., Python, R).</li><li>Experience with machine learning algorithms and techniques.</li><li>Experience with large datasets.</li><li>Excellent communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for career advancement within a growing data science team.</li><li>A challenging and rewarding role with significant impact.</li><li>Health insurance.</li><li>Paid time off.</li></ul></p><p><b>A Day in the Life:</b> A day involves working with large datasets, developing and implementing machine learning models, and communicating findings to stakeholders.  Collaboration is key.</p>