<p><b>What role you will play in team:</b> Support senior data scientists in various projects, contributing to the development of analytical models.</p><p><b>What you will do:</b> Conduct data cleaning, preprocessing, and exploratory data analysis.</p><p><b>Key responsibility:</b><ul><li>Assist in the development and implementation of machine learning models.</li><li>Prepare and clean data for analysis.</li><li>Conduct exploratory data analysis to identify patterns and trends.</li><li>Develop visualizations to communicate findings.</li><li>Collaborate with a team of data scientists.</li><li>Contribute to documentation and reports.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science).</li><li>Proficiency in Python or R.</li><li>Familiarity with data manipulation libraries (e.g., Pandas, NumPy).</li><li>Understanding of statistical concepts.</li><li>Strong problem-solving and analytical skills.</li><li>Good communication skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Mentorship from experienced data scientists.</li><li>Opportunities for professional development.</li><li>Exposure to a wide range of data science projects.</li><li>A supportive and collaborative work environment.</li></ul></p><p><b>A Day in the Life:</b> Involves working with large datasets, developing analytical models, and collaborating with a team.</p>