<p><strong>What role you will play in team:</strong> Assist senior data scientists in various projects, gaining practical experience in the field.</p><p><strong>What you will do:</strong> Participate in data cleaning, preprocessing, and feature engineering tasks.</p><p><strong>Key responsibility:</strong><ul><li>Data cleaning and preprocessing.</li><li>Feature engineering and selection.</li><li>Assist in model building and evaluation.</li><li>Contribute to data visualization and reporting.</li><li>Learn and apply various machine learning techniques.</li><li>Work collaboratively with a team of experienced data scientists.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science).</li><li>0-1 year of experience (internships considered).</li><li>Proficiency in Python or R.</li><li>Familiarity with statistical concepts and machine learning algorithms.</li><li>Strong analytical and problem-solving skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary.</li><li>On-the-job training and mentorship.</li><li>Opportunities for professional development.</li><li>Friendly and supportive work environment.</li></ul></p><p><strong>A Day in the Life:</strong>  A typical day will involve learning from senior colleagues, participating in data cleaning, and working on small projects under supervision.</p>