<p><strong>What role you will play in team:</strong> You will be working with a team of data scientists to build models and analyze data for various banking applications.</p><p><strong>What you will do:</strong> You will be using various statistical models and machine learning techniques to solve business problems.</p><p><strong>Key responsibility:</strong><ul><li>Build predictive models using machine learning techniques.</li><li>Analyze large datasets to extract insights.</li><li>Develop and maintain data pipelines.</li><li>Communicate findings to stakeholders.</li><li>Collaborate with other data scientists and engineers.</li><li>Stay up-to-date on the latest advancements in data science.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Data Science, Statistics, or a related field.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Experience with SQL and big data tools.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Work in a challenging and rewarding environment.</li><li>Medical insurance.</li><li>Paid time off.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day includes cleaning and preprocessing data, training models, evaluating results, and collaborating with team members.</p>