<p><strong>What role you will play in team:</strong> You’ll be contributing to the development and deployment of machine learning solutions across various business areas.</p><p><strong>What you will do:</strong> You'll work on projects involving customer segmentation, fraud detection, and risk assessment.</p><p><strong>Key responsibility:</strong><ul><li>Develop and deploy machine learning models for various business problems.</li><li>Clean, prepare, and analyze large datasets.</li><li>Collaborate with cross-functional teams to gather requirements and deliver solutions.</li><li>Communicate technical concepts effectively to both technical and non-technical audiences.</li><li>Stay updated on the latest developments in the field of data science.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's or Master's degree in Computer Science, Statistics, or related fields.</li><li>Proficiency in Python or R, with experience in machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Strong data manipulation and analysis skills using SQL and other tools.</li><li>Experience with cloud platforms (AWS, Azure, GCP) is a plus.</li><li>Excellent communication, teamwork, and problem-solving skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career growth.</li><li>Collaborative and supportive work environment.</li><li>Flexible work arrangements (potential for hybrid or remote work).</li></ul></p><p><strong>A Day in the Life:</strong>  You’ll be working on various projects, engaging in data analysis, model building, and collaborating with stakeholders to solve business problems.</p>