<p><strong>What role you will play in team:</strong> Contribute to building and deploying machine learning models for fraud detection within the finance team. Collaborate with senior data scientists and engineers.</p><p><strong>What you will do:</strong> Assist in data preprocessing, feature engineering, and model training. Evaluate model performance and identify areas for improvement.</p><p><strong>Key responsibility:</strong><ul><li>Clean and prepare data for machine learning models.</li><li>Develop and implement machine learning algorithms.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Document code and processes.</li><li>Collaborate with other team members.</li><li>Present findings and recommendations to stakeholders.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in Computer Science, Statistics, or a related field.</li><li>Proficiency in Python or R.</li><li>Familiarity with machine learning algorithms.</li><li>Good communication skills.</li><li>Experience with data visualization tools is a plus.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for career growth.</li><li>Training and development opportunities.</li><li>Work from home options.</li></ul></p><p><strong>A Day in the Life:</strong> Your day will involve working with data, developing and testing machine learning models, and collaborating with your team to solve real-world problems. You'll be challenged and supported in your growth.</p>