<p><strong>What role you will play in team:</strong> Contribute to cutting-edge projects involving fraud detection, risk assessment and customer insights.</p><p><strong>What you will do:</strong> Develop and implement machine learning models, build data pipelines, and present findings to leadership.</p><p><strong>Key responsibility:</strong><ul><li>Develop and deploy machine learning models for fraud detection and risk assessment.</li><li>Design and implement data pipelines to process and analyze large datasets.</li><li>Present findings and recommendations to stakeholders.</li><li>Collaborate with cross-functional teams.</li><li>Stay updated on the latest advances in machine learning and data science.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's or PhD in a quantitative field (e.g., statistics, computer science, mathematics).</li><li>3-5 years of experience in data science or a related field.</li><li>Proficiency in Python or R programming languages.</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Strong communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive compensation and benefits.</li><li>Professional development opportunities.</li><li>Global collaborative work environment.</li><li>Hybrid work arrangement.</li></ul></p><p><strong>A Day in the Life:</strong> Your day may involve building models, analyzing data, collaborating with team members, and presenting your findings.</p>