<p><b>What role you will play in team:</b> You will be part of a dynamic team working on impactful projects related to financial inclusion. You'll contribute to model development and deployment.</p><p><b>What you will do:</b> You will be involved in the entire data science lifecycle, from data cleaning and feature engineering to model building and evaluation.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models to solve business problems.</li><li>Perform data analysis and visualization to identify trends and insights.</li><li>Collaborate with cross-functional teams to define project requirements.</li><li>Deploy models into production and monitor their performance.</li><li>Maintain and improve existing models.</li><li>Stay up-to-date with the latest advances in data science.</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 languages.</li><li>Experience with machine learning algorithms and techniques.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication skills.</li><li>Experience with SQL or other database systems.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Work in a collaborative and supportive environment.</li><li>Meaningful work with a positive social impact.</li><li>Health Insurance</li><li>Paid Time Off</li></ul></p><p><b>A Day in the Life:</b> You will start your day with a team meeting discussing ongoing projects.  You'll then work on cleaning and preprocessing data. Later, you'll build and evaluate machine learning models. You'll end the day by documenting your progress and collaborating with stakeholders.</p>