Data Science Engagement Lead

, India Job Family Group: Research and Development Worker Type: Regular Posting Start Date: July 6, 2026 Business Unit: Finance Experience Level: Experienced Professionals Job Description: What’s the role

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. 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 transformation—and value collaboration, innovation, and continuous learning—we invite you to join us as a Data Science Engagement Lead.

What you’ll be 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 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.

What you bring

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. 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 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. 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 (e.g.,PM4PY, ProM). Research and innovation orientation, contributing to proofs-of-concept or publications with academic and vendor partners.

What we offer

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. You’ll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You’ll be able to balance your priorities as you become the best version of yourself. Progress as a person as we work on the energy transition together.

Continuously grow the transferable skills you need to get ahead.

Work at the forefront of technology, trends, and practices.

Collaborate with experienced colleagues with unique expertise.

Achieve your balance in a values-led culture that encourages you to be the best version of yourself.

Join an organisation working to become one of the most diverse and inclusive in the world. 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

international teams.

Gain access to a wide range of training and development programmes.

An Inclusive & Progressive Place to Work  To power progress together, we need to attract and develop the brightest minds and make sure every voice is heard. Here are just some of the ways we’re nurturing an inclusive environment – one where you can express your ideas, extend your skills, and reach your potential.

We’re creating a space where people with disabilities can excel through transparent recruitment process, workplace adjustments and ongoing support in their roles. Feel free to let us know about your circumstances when you apply, and we’ll take it from there.

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.

We’re striving to be a pioneer of an inclusive and diverse workplace, promoting equality for employees regardless of sexual orientation or gender identity.

Shell in India

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.

Our global strategy, Powering Progress, is designed to generate value for our shareholders, customers, and the wider society, and focuses on creating more value with less emissions. 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. In 2022, Shell acquired Sprng Energy in a $1.55 billion deal to build an integrated energy transition business in the country. 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 nurture and invest in startups developing initiatives focused on accelerating energy innovation through programs such as Shell E4 and Shell Eco-marathon. We also have strategic investments in new energy companies such as Husk Power, d.light, Orb Energy, and Cleantech Solar.

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