Research and Development
Business Unit:
Finance
Experience Level:
Experienced Professionals
The Commercial Data Science (CDS) team is a community of experts partnering with Shell's 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 Shell's 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. 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 transformation-and value collaboration, innovation, and continuous learning-we invite you to join us as a Data Science Engagement Lead.
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., Support collaboration with academic and technology partners to explore new analytical methods and contribute insights to product enhancement discussions that inform Shell's 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.

10-12 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.

- Bachelor's or Master's 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.
- 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 Chain-identifying 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.
- 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.
- 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).
- Knowledge of process simulation, optimization, or Operations Research (OR) techniques for process improvement and decision support.
- Robust 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 (e.g.,Research and innovation orientation, contributing to proofs-of-concept or publications with academic and vendor partners.

You bring your skills and experience to Shell and in return you work with talented,



committed people on one of the most important challenges facing our planet. Collaborate with experienced colleagues with unique expertise.
We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply.
Grow as you progress through diverse career opportunities in national and
Gain access to a wide range of training and development programmes.

We're creating a space where people with disabilities can excel through transparent recruitment process, workplace adjustments and ongoing support in their roles. We're closing the gender gap - whether that's through action on equal pay or by enabling more women to reach senior roles in engineering and technology.
Shell is a diversified energy company in India with 13,000 employees, and presence in Integrated Gas, Downstream, Power, Renewable and Upstream. Additionally, we have deep capabilities in R&D;, digitalisation, and business operations.
The strategy supports our purpose of providing more and cleaner energy solutions, with the aim of profitably transforming Shell into a net-zero emissions energy business by 2050. As India moves towards its target of net-zero emissions by 2070, Shell India aims to play a leading role in securing vital energy for today, while investing in, and helping to build, the energy system of the future through strategic investments in the country.
Our Lubricants business serves over 50,000 consumers through a strong network of over 200 distributors, and operates an end-to-end value chain that spans conceptualization, development, and production at a world-class blending plant at Taloja. Through our 350-plus retail stations, we offer an integrated mobility experience including fuels, cafes, and convenience stores, with a prominent network of EV recharging facilities.
Shell owns and operates a LNG re-gasification terminal at Hazira, Surat, with a capacity of 5 MTPA and a LNG truck-loading unit that plays a crucial role in helping meet India's growing demand for gas across sectors. Sprng is a leading renewable energy company in India which develops and manages solar, wind, and hybrid power generation facilities and infrastructure.
Our three capability centres across Bangalore and Chennai serve as a technology and innovation powerhouse for Shell globally, working as a delivery engine for core technical, digital, and finance processes: pioneering digital innovation and cutting-edge technologies across the energy sector. We also have strong academic partnerships and collaborations with leading universities and technology institutes to accelerate decarbonization efforts within the energy sector.
We are committed to positively contributing to the communities in which we operate through programmes on STEM Education, Skilling, and Livelihood across India. We also have strategic investments in new energy companies such as Husk Power, d.light, Orb Energy, and Cleantech Solar.
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📌 Data Science and AI Lead (Chennai)
🏢 Shell
📍 Chennai