<p><b>What role you will play in team:</b> You will be responsible for developing and implementing machine learning models for fraud detection and risk assessment.</p><p><b>What you will do:</b> You will work with large datasets to build and evaluate models to identify and prevent insurance fraud.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for fraud detection.</li><li>Analyze large datasets to identify patterns and trends.</li><li>Evaluate model performance and make improvements.</li><li>Collaborate with other data scientists and stakeholders.</li><li>Communicate findings and recommendations to business stakeholders.</li><li>Stay up-to-date on the latest machine learning techniques.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in data science or related field.</li><li>Minimum 2-4 years experience in data science.</li><li>Proficiency in Python and machine learning libraries (e.g., scikit-learn, TensorFlow).</li><li>Experience with large datasets and cloud computing (e.g., AWS).</li><li>Excellent communication and presentation skills.</li><li>Strong analytical and problem-solving skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional growth and development.</li><li>Collaborative and innovative work environment.</li><li>Impactful work in a fast-growing company.</li></ul></p><p><b>A Day in the Life:</b> You'll work on developing and testing machine learning models, analyzing data, and collaborating with other data scientists.</p>