Data Science Engagement Lead

Selangor Malaysia

Job Family Group:

Research and Development

Worker Type:

Regular

Posting Start Date:

August 11 2026

Business Unit:

Finance

Experience Level:

Experienced Professionals

Job Description:

Whatsthe role

The Commercial Data Science (CDS) team is a community of experts partnering with Shells business stakeholders to deliver data-driven solutions through deep process understanding and technical excellence.

As a Data Science Engagement Lead within the Digital Process Twin (DPT) portfolio you will lead data scientists and collaborate with cross-functional business teams to identify transformation opportunities using process-centric data and guide the application of process mining optimization and AI/ML techniques to improve operational performance. Your work will drive measurable business outcomes by enhancing visibility agility and efficiency across Shells business operations.

The DPT Centre of Excellence (CoE) aims to Empower Process Transformation through Digital Process Twins by applying advanced process mining and analytics capabilities. Shell is recognized as an industry leader in process mining pioneering innovative analytical approaches and advancing the process twin concept. The CoE actively engages with academic partners industry forums and technology vendors to drive research innovation and thought leadership.

If you are passionate about applying data science to process event data to drive organizational process transformationand value collaboration innovation and continuous learningwe invite you to join us as a Data Science Engagement Lead.

Whatyoullbe doing

• Lead process-mining consulting engagements translating business challenges into analytical problem statements and actionable insights that drive measurable digital process transformation.
• Partner with global and regional business stakeholders to uncover inefficiencies define transformation opportunities and generate process-analytics use cases aligned with the Integrated Process Plan (IPP).
• Oversee the design and development of process data models collaborating with process and data architects to ensure clean integrated and analysis-ready event data from enterprise systems (e.g. SAP Salesforce ServiceNow).
• Facilitate process discovery and value workshops translating analytical findings into tangible business outcomes through clear evidence-based and persuasive data storytelling.
• Guide the delivery of analytical and AI/ML solutions ensuring alignment with strategic priorities technical excellence and measurable value realization (e.g. process cycle-time reduction or cost-efficiency improvement).
• Champion change and capability adoption organizing enablement sessions roadshows and awareness programs to promote process-mining and analytics capabilities across business Region / functions.
• Support collaboration with academic and technology partners to explore new analytical methods and contribute insights to product enhancement discussions that inform Shells Digital Process Twin (DPT) evolution.
• Mentor and coach data scientists developing consulting technical and storytelling capabilities within the DPT community.
• Monitor industry trends and emerging technologies to provide input on potential future use cases in process analytics optimization and AI.

Whatyou bring

• 1012 years of total experience including 6 years in analytics consulting of which 3 years in process-mining consulting or process-analytics leadership within global organizations or leading consulting firms.
• Bachelors or Masters degree in Mathematics Statistics Economics Data Science Engineering Technical Finance or a related quantitative field.
• Combines deep analytical expertise with consulting leadership leveraging prior hands-on experience in analytical solution development and data-driven problem solving to deliver measurable business outcomes.
• Process-Mining Technical Expertise: Strong command of process-mining concepts algorithms and tools (e.g. Celonis EMS SAP Signavio PM4Py) with proven ability to extract model and interpret event-log data to uncover inefficiencies monitor compliance and optimize end-to-end processes.
• Led the development and delivery of AI/ML use cases using process-centric data integrating predictive and prescriptive models with process-mining insights to drive data-informed decisions and measurable process transformation.
• Designed and implemented process data models and event-data integration frameworks collaborating with process architects data engineers and IT teams to ensure analysis-ready high-quality datasets across enterprise systems.
• Delivered process-analytics and AI-driven consulting engagements across business domains such as Finance Sales Procurement and Supply Chainidentifying bottlenecks quantifying value opportunities and achieving measurable performance improvements.
• Champions disciplined and responsible data-science delivery applying Agile practices MLOps/DevOps workflows (e.g. GitHub CI/CD) and Responsible AI (XAI) principles to ensure transparency scalability and measurable business outcomes across global teams.
• Demonstrated strength in analytical storytelling distilling complex analytical findings into persuasive narratives and visual insights that drive executive alignment and decision-making.
• Experience in leading and active engagement in professional communities industry forums and technology meetups to foster collaboration share insights and drive innovation in analytical methods and digital transformation initiatives.
• Proven expertise in applying process mining optimization machine learning or AI techniques to process centric data for measurable business outcomes.
• Strong proficiency in Python SQL and process data modeling with experience transforming data from enterprise systems such as SAP Salesforce HANA or ServiceNow.
• Deep understanding of process data structures (case IDs activities timestamps attributes) and the ability to build scalable analytics pipelines.
• Structured hypothesis-driven problem-solving approach with the ability to interpret and communicate analytical results clearly to diverse audiences.
• Ability to guide cross-functional teams ensuring analytical solutions align with business strategies and deliver measurable value.
• Experience with cloud-based analytics environments and process-analytics platforms (e.g. Celonis EMS SAP Signavio Microsoft Process Mining) and familiarity with major cloud platforms (Azure AWS GCP).
• Understanding of end-to-end business-process lifecycles and value-chain optimization.
• Knowledge of process simulation optimization or Operations Research (OR) techniques for process improvement and decision support.
• Strong data storytelling and visualization skills translating complex analytics into actionable business insights.
• Continuous-learning mindset staying current with advances in process mining AI/ML and digital-twin technologies.
• Experience with complementary or open-source process-mining tools (4PY ProM).
• Research and innovation orientation contributing to proofs-of-concept or publications with academic and vendor partners.

Key Competencies required for this role:

• Analytical Consulting Execution
• Structured Problem Solving & Critical Thinking
• Business Partnering & Value Translation

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