Team Lead Data Science Job in Shell

General Position Definition

• Finance & Data Operations Data Science Team is tasked with delivering tangible value to business units within Shell through data-driven decision making.
• This position is part of Finance & Data Operations Data Science team leading a team of data scientists delivering Process Analytics projects for different SAP Business processes within Shell.
• The individual will join a growing global data science organization spanning both on/offshore.
• Incumbent is responsible for leading and executing advance process analytics projects in a business, collaborating with different business stakeholders and other partners, support the implementation of insights to realize tangible value for Shell, manage a team of data scientists and working across a range of technologies and tools.

• Clearly articulate the challenges / opportunities in business / function that can be supported by Process Analytics solution
• Conduct workshop to create awareness about "Art of possibilities" with data science technology and generate use cases in SAP Business processes
• Implement new business process areas in Process Analytics - Celonis (e.g. Accounts Payable, Request to Pay, Trading and supply, Plant Maintenance, Warehouse Management) by developing appropriate process models, statistical analysis, and KPI visualization configurations for specific business requirements.
• Work with IT to provide business requirements for source systems (SAP, Non-SAP) and configure Celonis for loading and transforming the data.
• Develop actionable insights by providing advanced analytics solutions on a broad range of business issues and data types.
• Document all Design, configuration and how to guides for process Data Models.
• Provide clear guidance to end users on how to effectively use SAP Celonis Process Mining.
• Grow process mining capability by identifying opportunities in new business areas, work in preparing proposals, proof of concepts and demos.
• Explore, Architect and Implement advanced analytics capabilities in SAP business process through techniques such as Predictive analytics, text analytics, Machine learning and Deep learning