<p><b>What role you will play in team:</b> Contribute to the development of advanced analytical models, improving underwriting processes, fraud detection, and customer segmentation.</p><p><b>What you will do:</b>  You will work on large datasets, build predictive models, and use statistical methods to solve business problems within the insurance domain.</p><p><b>Key responsibility:</b><ul><li>Developing and implementing statistical models for insurance applications.</li><li>Working with large datasets to identify trends and patterns.</li><li>Building predictive models for risk assessment and fraud detection.</li><li>Conducting A/B testing and model evaluation.</li><li>Collaborating with other data scientists and engineers.</li><li>Communicating findings and recommendations to stakeholders.</li><li>Keeping up-to-date with the latest advances in data science.</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 statistical modeling techniques (regression, classification).</li><li>Proficiency in programming languages (Python, R).</li><li>Experience with big data technologies (Spark, Hadoop).</li><li>Strong communication and presentation skills.</li><li>Experience in insurance industry a plus.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career growth.</li><li>Dynamic and collaborative work environment.</li><li>Access to cutting-edge technologies and resources.</li><li>Health insurance and other benefits.</li></ul></p><p><b>A Day in the Life:</b>  You'll spend your day working with data, building models, testing hypotheses, and collaborating with your team. You will be involved in the entire data science lifecycle.</p>