<p><b>What role you will play in team:</b> You will play a key role in building predictive models for our clients.</p><p><b>What you will do:</b> You will be involved in the entire data science lifecycle, from data collection to model deployment.</p><p><b>Key responsibility:</b><ul><li>Data collection and preprocessing.</li><li>Feature engineering and selection.</li><li>Model building and evaluation.</li><li>Model deployment and monitoring.</li><li>Communication of findings to clients.</li><li>Collaboration with other data scientists and engineers.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field (e.g., statistics, mathematics, computer science).</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication skills (written and oral).</li><li>Experience with cloud computing platforms (e.g., AWS, Azure, GCP) is a plus.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development.</li><li>Collaborative work environment.</li><li>Exposure to diverse projects.</li><li>Work-life balance.</li></ul></p><p><b>A Day in the Life:</b>The day-to-day activities can range from model building to client presentations. </p>