Data Science Analyst at Shell

• Apply data science methods to process event data • Support analytical modeling and process insights • Enable data-driven decision-making

• Strong understanding of data science methods • Ability to work with process event data • Analytical and problem-solving skills

Exposure to process mining and understanding of event-based data. Experience using data visualization tools and frameworks such as Power BI, Tableau, or Plotly Dash for process-performance reporting Understanding of data quality, data wrangling, and feature engineering. Exposure to Celonis EMS, SAP Signavio, or open-source process-mining frameworks (PM4Py, ProM). Academic or project experience in process simulations or operations research. Awareness of professional data science communities and willingness to engage for learning and growth.