<p><strong>What role you will play in team:</strong>  You'll be a crucial member of our team, applying advanced analytical techniques to solve complex business challenges within the energy sector.</p><p><strong>What you will do:</strong> Develop and implement predictive models to optimize operations and improve decision-making.</p><p><strong>Key responsibility:</strong><ul><li>Develop and deploy machine learning models for various applications within the energy industry.</li><li>Analyze large and complex datasets to identify trends and patterns.</li><li>Collaborate with cross-functional teams to translate business needs into data-driven solutions.</li><li>Communicate findings and recommendations effectively to both technical and non-technical audiences.</li><li>Maintain and improve existing data infrastructure and pipelines.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Data Science, Statistics, or a related quantitative field.</li><li>Strong programming skills in Python or R, including experience with data manipulation and visualization libraries.</li><li>Experience with statistical modeling techniques and machine learning algorithms.</li><li>Excellent problem-solving and analytical skills.</li><li>Ability to work independently and as part of a team.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive compensation and benefits package.</li><li>Opportunities for professional development and advancement.</li><li>A dynamic and collaborative work environment.</li><li>Impactful work with a global leader in the energy industry.</li></ul></p><p><strong>A Day in the Life:</strong>  You’ll spend your day immersed in data, working on challenging projects that have a direct impact on Shell’s business operations.</p>