The Commercial Data Science (CDS) team partners with Shell’s business units to deliver data-driven solutions through deep process understanding and technical excellence.
As a Data Scientist within the Digital Process Twin (DPT) portfolio, you will apply process mining, optimization, and AI/ML techniques to process-centric data to identify inefficiencies, predict process behavior, and optimize end-to-end business performance. You will collaborate closely with engineers, architects, and fellow data scientists to design scalable analytical solutions and integrate them into Shell’s process-mining ecosystem.
The Digital Process Twin Centre of Excellence (CoE) aims to “Empower Process Transformation through Digital Process Twins” by advancing process-mining and analytics capabilities. Shell is recognized as an industry thought leader in process intelligence, pioneering innovative analytical methodologies and data-driven process transformation. The CoE collaborates with academic institutions, industry forums, and technology vendors to drive innovation and applied research in process analytics.
If you are passionate about building advanced analytical models using process event data and developing intelligent solutions that enhance operational agility and enable autonomous processes, we invite you to join us as a Data Scientist contributing to Shell’s digital process transformation journey.
What you’ll be doing
- Develop, and implement machine learning and optimization models using process event data to predict, classify, and enhance business-process performance.
- Apply process-mining and AI/ML techniques to discover process patterns, identify root causes, and quantify improvement opportunities.
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- Implement and maintain process data models — integrating and transforming data from enterprise systems (e.g., SAP, Salesforce, ServiceNow) into structured, analysis-ready pipelines for process-mining and machine-learning applications.
- Collaborate with senior data scientists, data engineers, and software developers to embed models into Shell’s process-mining platform for scalable, real-time analytics.
- Develop algorithms that combine process-mining insights with AI/ML models for anomaly detection, forecasting, and prescriptive optimization.
- Implement MLOps and DevOps workflows for model lifecycle management, version control, deployment, and monitoring using GitHub and CI/CD pipelines.
- Support the establishment of best practices in solution design, data quality, and delivery of scalable analytical products aligned with strategic business objectives.
- Contribute to research and innovation by evaluating emerging tools, algorithms, and open-source frameworks in process intelligence and digital twins.
- Ensure Responsible and Explainable AI (XAI) principles are embedded in all model development and deployment practices.
What you bring
- 6–8 years of experience in data science, including hands-on development of AI/ML or optimization models and at least 2 years working with process event or behavioral data.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field.
- Proven track record of building and deploying analytical solutions from concept to production.
- Demonstrated expertise in applying machine learning, statistical modeling, and process-mining algorithms to large, multi-source enterprise datasets.
- Strong programming proficiency in Python, SQL, and data-modeling techniques for event data.
- Experience in process data model design, development, and deployment, including creation of reusable data schemas and pipelines for process analytics.
- Experience integrating ML models with process-mining platforms such as Celonis EMS or open-source frameworks (PM4Py, ProM).
- Familiarity with Agile development, MLOps, and DevOps practices for automation, testing, and deployment.
- Solid understanding of process data structures (case IDs, activities, timestamps, attributes) and their application in process-performance modeling.
- Exposure to cloud environments (Azure, AWS, or GCP) for data science workloads is desirable.
- Demonstrated commitment to technical rigor and model explainability through Responsible AI practices.
- Proficiency in Python, SQL, and data engineering for analytical / process data modeling.
- Experience in machine learning, deep learning, or optimization algorithms applied to real-world business processes.
- Strong foundation in process-mining techniques, including event-log discovery, conformance checking, and process enhancement.
- Understanding of MLOps concepts (CI/CD, GitHub, Docker, MLflow) for scalable deployment.
- Ability to design, test, and optimize data-driven models to enhance process visibility and performance.
- Experience working in cloud environments (Azure, AWS, or GCP) for data science workloads.
- Familiarity with Celonis EMS, SAP Signavio, or similar process-mining platforms.
- Knowledge of process simulation, optimization, or operations research methods.
- Exposure to big data frameworks (Spark, Databricks) for handling large-scale event data.
- Ability to actively engage in professional communities and forums to share insights and collaborate on advancements in data science and analytics.
- Strong analytical thinking and technical documentation skills.
- Experience with open-source process-mining frameworks (PM4Py, ProM).
- Research contributions or proof-of-concept development in process intelligence or applied AI.
- Familiarity with Responsible AI frameworks (e.g., interpretability libraries, bias detection tools).
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 id
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