<p><b>What role you will play in team:</b>  You'll be a crucial member of our team, contributing to the development and implementation of data-driven solutions within the bank.</p><p><b>What you will do:</b>  You'll work on projects involving data analysis, model building, and reporting to improve banking operations.</p><p><b>Key responsibility:</b><ul><li>Gather and clean data from various sources within the bank.</li><li>Develop and implement machine learning models for fraud detection, risk management, or customer segmentation.</li><li>Create insightful visualizations and reports to communicate findings to stakeholders.</li><li>Collaborate with other team members to solve complex business problems.</li><li>Stay current with the latest advancements in data science and machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>Proficiency in Python or R programming language.</li><li>Familiarity with machine learning algorithms and techniques.</li><li>Experience with data visualization tools (e.g., Matplotlib, Seaborn).</li><li>Strong problem-solving and analytical abilities.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional growth and development within the bank.</li><li>Supportive and collaborative work environment.</li><li>Health insurance and other employee benefits.</li></ul></p><p><b>A Day in the Life:</b> A typical day would involve working on data analysis tasks, building models, creating reports, and collaborating with other team members.</p>