<p><b>What role you will play in team:</b> 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><b>What you will do:</b>  You will work closely with senior data scientists to build, test, and deploy models, contributing to the improvement of our fraud detection system.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for fraud detection.</li><li>Collaborate with other data scientists to improve model accuracy and efficiency.</li><li>Monitor model performance and make necessary adjustments.</li><li>Communicate findings and recommendations to stakeholders.</li><li>Document model development and deployment processes.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in computer science, statistics, or a related field.</li><li>Proficiency in Python or R programming language.</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Excellent problem-solving and analytical skills.</li><li>Strong communication and collaboration skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Collaborative and supportive work environment.</li><li>Health insurance.</li><li>Paid time off.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves collaborating with team members on model development, testing, and deployment, analyzing data, and communicating results to stakeholders.  You'll also be involved in ongoing learning and improvement of your skills.</p>