<p><strong>What role you will play in team:</strong> You will be part of a team of data scientists working on various projects related to fraud detection and risk management.</p><p><strong>What you will do:</strong> Develop and implement machine learning models to identify fraudulent activities and assess risks.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for fraud detection.</li><li>Analyze large datasets to identify patterns and anomalies.</li><li>Evaluate model performance and make improvements.</li><li>Collaborate with other teams to integrate models into business workflows.</li><li>Communicate findings to stakeholders.</li><li>Stay up-to-date on the latest advancements in machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in a quantitative field.</li><li>3+ years of experience in data science or a related field.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning algorithms.</li><li>Experience with big data tools (e.g., Spark, Hadoop).</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Collaborative and supportive work environment.</li><li>Flexible work arrangements.</li><li>Health Insurance</li></ul></p><p><strong>A Day in the Life:</strong>Your day will involve developing and testing machine learning models, analyzing data, and collaborating with other team members.</p>