<p><b>What role you will play in team:</b> Contribute to a team focused on using data science to optimize energy production and efficiency.</p><p><b>What you will do:</b>  Develop and deploy predictive models to improve operational processes within Shell's energy facilities.</p><p><b>Key responsibility:</b><ul><li>Develop and implement predictive models for optimizing energy production and efficiency.</li><li>Perform data cleaning, preprocessing, and feature engineering on large datasets.</li><li>Collaborate with engineers and other stakeholders to implement models in production environments.</li><li>Communicate findings and insights effectively to both technical and non-technical audiences.</li><li>Stay current with the latest advances in data science and machine learning techniques.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in data science, statistics, or a related field.</li><li>Proficiency in Python or R, including experience with relevant libraries (scikit-learn, pandas, numpy).</li><li>Experience with machine learning algorithms (regression, classification, time series analysis).</li><li>Excellent problem-solving skills and the ability to work independently and as part of a team.</li><li>Strong communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth within a global organization.</li><li>A challenging and rewarding work environment with a focus on innovation.</li><li>Work from Home.</li></ul></p><p><b>A Day in the Life:</b> A day might involve data exploration, model building, algorithm refinement, collaboration with engineering teams, and presenting findings to stakeholders.</p>