<p><b>What role you will play in team:</b>You will support our data science team in various projects, gaining hands-on experience in data analysis, model building, and deployment. You'll work closely with experienced data scientists, learning valuable skills and contributing to real-world applications.</p><p><b>What you will do:</b>You'll assist in data cleaning, feature engineering, model development, and evaluation. You'll participate in team discussions, learning best practices and contributing your ideas.  This is a great opportunity for students to gain practical experience.</p><p><b>Key responsibility:</b><ul><li>Assist in data cleaning and preprocessing tasks.</li><li>Participate in feature engineering and selection.</li><li>Help in the development and evaluation of machine learning models.</li><li>Contribute to the documentation of data science processes and findings.</li><li>Attend team meetings and contribute to project discussions.</li><li>Learn and apply new data science techniques and technologies.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Currently pursuing a Bachelor's or Master's degree in a relevant field (e.g., computer science, statistics, mathematics).</li><li>Basic understanding of statistical concepts and machine learning algorithms.</li><li>Proficiency in Python or R programming languages.</li><li>Good problem-solving and analytical skills.</li><li>Teamwork and communication skills.</li><li>Enthusiasm for learning and applying data science techniques.</li></ul></p><p><b>Benefits Included:</b><ul><li>A structured internship program with mentorship from experienced data scientists.</li><li>Hands-on experience in a real-world setting.</li><li>Opportunities to learn and apply new skills and technologies.</li><li>A supportive and collaborative work environment.</li><li>Stipend or allowance.</li><li>Certificate of completion.</li></ul></p><p><b>A Day in the Life:</b>Involves working on various data science tasks, collaborating with team members, learning from experienced professionals, and contributing to real-world projects. It's an excellent opportunity to gain practical experience and develop your skills.</p>