<p><strong>What role you will play in team:</strong> You will be a key member of our data science team, contributing to the development and implementation of machine learning models for fraud detection. </p><p><strong>What you will do:</strong> You will work closely with cross-functional teams to understand business problems and translate them into data science solutions. </p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for fraud detection.</li><li>Work with large datasets to identify trends and patterns.</li><li>Communicate findings to both technical and non-technical audiences.</li><li>Collaborate with engineers to deploy models into production.</li><li>Stay up-to-date with the latest advancements in machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in a quantitative field (e.g., statistics, mathematics, computer science).</li><li>Experience with Python and R.</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and presentation skills.</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>Chance to work on challenging and impactful projects.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves working on model development and deployment. You will also spend time collaborating with colleagues and stakeholders.  You'll analyze data, refine algorithms, and present your findings.</p>