<p><b>What role you will play in team:</b> You will be part of a dynamic team working on cutting-edge data science projects, contributing to model development and analysis.</p><p><b>What you will do:</b> You'll assist senior data scientists in collecting, cleaning, and analyzing large datasets to extract meaningful insights and build predictive models.</p><p><b>Key responsibility:</b><ul><li>Data cleaning and preprocessing.</li><li>Feature engineering and selection.</li><li>Model development and evaluation using various algorithms (regression, classification, clustering).</li><li>Data visualization and reporting.</li><li>Collaboration with other team members.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in Statistics, Mathematics, Computer Science, or related fields.</li><li>Proficiency in Python or R.</li><li>Familiarity with machine learning libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive stipend.</li><li>Opportunity to work on real-world projects.</li><li>Mentorship from experienced data scientists.</li><li>Professional development opportunities.</li><li>Flexible work hours.</li></ul></p><p><b>A Day in the Life:</b> You will start your day with a team meeting, then work on data cleaning, followed by model development and evaluation. Finally, you'll discuss your findings with the team and prepare reports.</p>