Data Scientist – Process mining

Data Scientist – Process mining

  • Anywhere

Company Name:-
Shell

Job Location:-
Chennai, Tamil Nadu

Job Summary:-
The Role
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 small team of data scientists delivering advanced analytics projects for different businesses within Shell.

The individual will join a growing global data science organization spanning both on/offshore.

Incumbent is responsible for developing analytical models for projects collaborating with different business stakeholders & other partners and working across a range of technologies and tools.

Responsibilities:
Clearly articulate the challenges / opportunities in business / function that can be supported by Process Mining analytics solution
Solicit business requirements and translate them into a Celonis Process Mining analytics solution
Develop actionable insights by providing advanced analytics solutions on a broad range of business issues and data types.

Provide clear guidance to end users on how to effectively use Celonis Process Mining.

Develop and deliver process mining training as required
Implement advanced capabilities in Process mining (e.

g.

Predictive modelling, Natural Language Processing).

Education Requirement/Field of Study : Degree in Statistics, Finance, Computer Science, Information Systems, Mathematics, Engineering or related fields
Requirements :
Experience working with process mining tools such as Process X-ray, Process Gold, Signavio, Mint, Celonis (preferred), etc.

Experience working with SAP / SAP HANA (functional modules, underlying data structures, BW)
Minimum of 5+ years of experience working in Analytics, Business Intelligence, and Statistical Modelling
Experience working in any Finance / Business Processes such as Procure to Pay, Order to Cash, Fixed Asset, Trading, Inventory Management, Production Planning, Plant Maintenance, Travel and Entertainment, etc.

Strong understanding and experience with analytical/predictive modelling techniques, theories, principles, and practices.

High Proficient in SQL or ABAP or Python or any other programming language
Prior experience of working with data visualization tools such as SAP

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