<p><strong>What role you will play in team:</strong> You'll leverage your data science expertise to derive insights and predictions from insurance data.</p><p><strong>What you will do:</strong>  Develop machine learning models to predict claims, assess risk, and optimize business processes.</p><p><strong>Key responsibility:</strong><ul><li>Develop and deploy machine learning models for various insurance applications.</li><li>Clean, process, and analyze large datasets of insurance data.</li><li>Conduct A/B testing to evaluate model performance and optimize outcomes.</li><li>Collaborate with other data scientists and stakeholders.</li><li>Communicate findings and recommendations to technical and non-technical audiences.</li><li>Stay updated on the latest advancements in data science and machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Data Science, Computer Science, or related field.</li><li>3-5 years of experience in a data science role, preferably within the insurance industry.</li><li>Proficiency in programming languages such as Python or R.</li><li>Experience with machine learning algorithms and techniques.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for continued learning and professional development.</li><li>Collaboration with a team of experienced data scientists.</li><li>Cutting-edge technologies and tools.</li><li>Flexible work arrangements.</li></ul></p><p><strong>A Day in the Life:</strong> Your day will be focused on building and testing machine learning models, analyzing data, and collaborating with stakeholders to deliver impactful results.</p>