<p><strong>What role you will play in team:</strong>  You will be part of a high-performing team responsible for developing and implementing advanced analytical models to optimize Shell's operations and improve decision-making across various business units. </p><p><strong>What you will do:</strong> You will leverage your expertise in machine learning and statistical modeling to analyze large datasets, identify patterns, and build predictive models. You will work closely with engineers and business stakeholders to deliver impactful solutions.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models to improve operational efficiency.</li><li>Analyze large and complex datasets to identify trends and patterns.</li><li>Collaborate with business stakeholders to define problems and solutions.</li><li>Develop and present reports and visualizations to communicate findings.</li><li>Stay abreast of the latest advancements in machine learning and data science.</li><li>Contribute to the development of new data science methodologies and tools.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Data Science, Statistics, or a related field.</li><li>Proficiency in Python or R programming languages.</li><li>Experience with machine learning algorithms (regression, classification, clustering).</li><li>Experience with big data technologies (Hadoop, Spark).</li><li>Strong communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and advancement.</li><li>Work on impactful projects that affect the global energy landscape.</li><li>A dynamic and collaborative work environment.</li></ul></p><p><strong>A Day in the Life:</strong> You start your day reviewing model performance metrics and addressing any issues. You then spend time on data exploration, model building, and collaborating with engineers and business stakeholders to ensure the successful implementation of your solutions.</p>