<p><b>What role you will play in team:</b> You'll be part of a team leveraging advanced analytics to solve complex problems in the insurance industry.</p><p><b>What you will do:</b> Develop and implement machine learning models for risk assessment, fraud detection, and customer segmentation.</p><p><b>Key responsibility:</b><ul><li>Develop and deploy machine learning models for various insurance applications.</li><li>Analyze large datasets to extract insights and identify patterns.</li><li>Develop and maintain data pipelines and infrastructure.</li><li>Collaborate with stakeholders to define business problems and solutions.</li><li>Communicate findings and recommendations to both technical and non-technical audiences.</li><li>Stay current with the latest advances in data science and machine learning.</li><li>Contribute to the development of innovative data-driven solutions.</li><li>Work with various stakeholders to align projects to business needs.</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>Experience with machine learning algorithms and techniques.</li><li>Proficiency in programming languages such as Python or R.</li><li>Strong data visualization and communication skills.</li><li>Experience working with large datasets.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and advancement.</li><li>Flexible work arrangements.</li><li>Work in a cutting-edge technology environment.</li></ul></p><p><b>A Day in the Life:</b>  A day involves developing and implementing machine learning models, analyzing data, and collaborating with colleagues to deliver impactful results.</p>