<p><strong>What role you will play in team:</strong>  You'll be a core member of the team responsible for leveraging data to improve customer experience and operational efficiency.</p><p><strong>What you will do:</strong> You'll build predictive models for customer churn, fraud detection, and other key business problems.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for various business problems.</li><li>Perform data exploration and feature engineering.</li><li>Evaluate model performance and make recommendations for improvements.</li><li>Collaborate with other data scientists and business stakeholders.</li><li>Communicate findings and insights to stakeholders in a clear and concise manner.</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>Experience with Python or R programming languages.</li><li>Knowledge of machine learning algorithms.</li><li>Experience with SQL and database management.</li><li>Excellent communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for career growth within the banking sector.</li><li>A collaborative and supportive work environment.</li><li>Work from home option.</li></ul></p><p><strong>A Day in the Life:</strong>  A typical day involves working on data cleaning, feature engineering, model training, and communicating findings to stakeholders to drive business decisions.</p>