<p><b>What role you will play in team:</b> As a junior member of our data science team, you will support senior data scientists in developing and implementing machine learning models. You'll contribute to various projects and gain valuable experience in the financial industry.</p><p><b>What you will do:</b> Your work will involve data cleaning, feature engineering, model building, and evaluation. You will also contribute to the documentation and communication of results.</p><p><b>Key responsibility:</b><ul><li>Support senior data scientists in developing and implementing machine learning models.</li><li>Perform data cleaning and preprocessing.</li><li>Perform feature engineering.</li><li>Build and evaluate machine learning models.</li><li>Contribute to the documentation and communication of results.</li><li>Participate in team meetings and discussions.</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>0-1 year of experience (internships count).</li><li>Proficiency in Python or R.</li><li>Familiarity with machine learning algorithms.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent 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>Collaborative and supportive work environment.</li><li>Global career opportunities within S&P Global.</li></ul></p><p><b>A Day in the Life:</b>  A typical day involves working on data cleaning, model building, code reviews, and team discussions. You will be learning and contributing to meaningful projects within a supportive team environment.</p>