<p><strong>What role you will play in team:</strong> You will be a valuable member of our data science team, applying your expertise to develop innovative solutions for a variety of business challenges within the financial services industry.</p><p><strong>What you will do:</strong> You will be responsible for the entire data science lifecycle, from problem definition and data exploration to model deployment and monitoring.</p><p><strong>Key responsibility:</strong><ul><li>Develop and deploy machine learning models to address specific business problems.</li><li>Perform exploratory data analysis to identify patterns and insights.</li><li>Build and maintain data pipelines for efficient data processing.</li><li>Collaborate with stakeholders to gather requirements and communicate findings.</li><li>Evaluate model performance and implement improvements.</li><li>Maintain and update existing models to adapt to changing business needs.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.</li><li>Proficiency in Python or R, including experience with relevant libraries (e.g., scikit-learn, pandas, numpy).</li><li>Experience with machine learning algorithms and techniques.</li><li>Strong analytical and problem-solving abilities.</li><li>Excellent communication and collaboration skills.</li><li>Experience working in the financial services industry is a plus.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive compensation and benefits package.</li><li>Opportunities for professional growth and development within a global organization.</li><li>A diverse and inclusive work environment.</li><li>Opportunities to contribute to meaningful projects with a positive societal impact.</li><li>Work-life balance initiatives.</li></ul></p><p><strong>A Day in the Life:</strong>  A typical day might involve working on a specific project, from data exploration to model development and presenting your findings to the team.</p>