<p><b>What role you will play in team:</b> Leverage your data science expertise to develop and implement advanced analytical models, which will support strategic decision-making within the Insurance business.</p><p><b>What you will do:</b> Apply your data science skills to develop algorithms, optimize processes, and improve predictive modeling within the Insurance sector, working in collaboration with other technical specialists.</p><p><b>Key responsibility:</b><ul><li>Develop and implement advanced analytical models for insurance applications.</li><li>Analyze large datasets to identify trends and patterns.</li><li>Develop algorithms for fraud detection, risk assessment, and claims prediction.</li><li>Build predictive models to improve pricing and underwriting processes.</li><li>Collaborate with other data scientists, engineers, and business stakeholders.</li><li>Communicate findings and insights effectively to both technical and non-technical audiences.</li><li>Stay current on the latest advances in data science and machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in Data Science, Statistics, Computer Science, or a related field.</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning algorithms and techniques.</li><li>Experience with big data technologies (e.g., Hadoop, Spark).</li><li>Excellent communication and presentation skills.</li><li>Knowledge of insurance industry concepts (preferred).</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and comprehensive benefits.</li><li>Opportunities for professional development and training.</li><li>A collaborative and innovative work environment.</li><li>Work on cutting-edge projects with real-world impact.</li><li>Flexible work arrangements.</li></ul></p><p><b>A Day in the Life:</b> Your day will be a mix of coding, data analysis, model development, and collaboration with team members.  You will constantly be challenged to solve complex problems and improve processes.</p>