<p><b>What role you will play in team:</b> You will be a key member of our data science team, contributing to the development and implementation of machine learning models for optimizing Shell's operations. </p><p><b>What you will do:</b> You will work on various projects, from forecasting energy demand to improving the efficiency of our refineries.  You'll collaborate with engineers and business stakeholders to ensure solutions align with business needs.</p><p><b>Key responsibility:</b><ul><li>Develop and deploy machine learning models to solve complex business problems.</li><li>Collaborate with cross-functional teams to define project scope, gather data, and implement solutions.</li><li>Cleanse, transform and prepare data for modeling.</li><li>Evaluate model performance and provide recommendations for improvement.</li><li>Document your work clearly and concisely.</li><li>Stay abreast of the latest developments in machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>Proficiency in Python or R programming languages.</li><li>Experience with machine learning libraries like scikit-learn, TensorFlow, or PyTorch.</li><li>Experience with SQL and data manipulation techniques.</li><li>Excellent communication and collaboration skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Collaborative and supportive work environment.</li><li>Health insurance.</li><li>Paid time off.</li></ul></p><p><b>A Day in the Life:</b> A typical day might involve reviewing data, building models, collaborating with engineers, and presenting findings to stakeholders.  You will work in a dynamic environment solving real-world problems.</p>