<p><b>What role you will play in team:</b>  As a Data Scientist, you will be instrumental in leveraging data to enhance our insurance solutions, creating innovative products and services.</p><p><b>What you will do:</b> You will build and deploy machine learning models to improve risk assessment, fraud detection, and customer segmentation, driving growth and efficiency.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning algorithms and models.</li><li>Conduct data analysis and visualization to identify key trends and patterns.</li><li>Build predictive models for risk assessment, fraud detection, and customer segmentation.</li><li>Collaborate with other data scientists and engineers to deploy models into production.</li><li>Develop and maintain data pipelines and infrastructure.</li><li>Communicate findings and insights to stakeholders.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree or PhD in Data Science, Statistics, or a related field.</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Experience with big data technologies (Hadoop, Spark).</li><li>Excellent communication and presentation skills.</li><li>Knowledge of insurance industry (preferred).</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and comprehensive benefits package.</li><li>Opportunities for professional growth and development.</li><li>State-of-the-art technology and resources.</li><li>Collaborative and innovative work environment.</li><li>Global career opportunities.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves data exploration and preprocessing, model development and testing, deployment and monitoring, and collaboration with other team members to share insights and refine models.</p>