Data Scientist

Key Skills

Business Intelligence, Data Analytics, Data science techniques, Data Visualization, Deep Learning, Finance, Machine learning techniques, PowerBI, Python Programming, R Programming, SAP, SQL, Statistics, Tableau

Job Description

• Clearly articulate the challenges / opportunities in business / function that can be supported by Process 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
• Explore, Learn and implement advanced analytics capabilities in SAP business process through techniques such as Predictive analytics, text analytics, Machine learning and Deep learning

What we need from you?

Required Education:

• Degree in Statistics, Finance, Computer Science, Information Systems, Mathematics, Engineering or related fields

Required Skills/Experience:

• Good functional understanding of SAP business process such as MM, WM, SD, LE, PP, PM, FICO, (any 2 Mandatory)
• Hands on experience working with SAP tables and structures (Creations of Views, stored procedures)
• Minimum of 5+ years of experience working in Analytics, Business Intelligence, and Statistical Modelling
• Hands on experience with techniques such as Predictive analytics, Text analytics, Machine learning and Deep learning Experience
• Proficient in SQL, ABAP, Python, R or any other programming language (at least any 2 Mandatory)
• Preferred working experience with process mining tools such as Celonis, Process X-ray, Process Gold, Mint, etc.
• Preferred experience working in any of two of the Finance / Business Processes such as Procure to Pay, Accounts Payable, Order to Cash, Accounts Receivable, Indirect Tax, General Ledger, Fixed Assets, Maintenance Work Order, Production order, etc.
• Prior experience of working with data visualization tools such as PowerBI, SpotFire, Tableau or Qlikview preferred

Company Description

Shell Business Operations (SBO) is a chain of operational centers that form an integral part of Royal Dutch Shell. We influence business development for Shell globally, enabling the work of 93,000 employees in over 70 countries across the world. SBO Chennai is focused on driving excellent performance that enable Shell to operate in a global competitive and ever-changing business environment.

An Innovative Place to Work

There’s never been a more exciting time to work at Shell. Everyone here is helping solve one of the biggest challenges facing the world today: bringing the benefits of energy to everyone on the planet, whilst managing the risks of climate change.

Join us and you’ll add your talent and imagination to a business with the power to shape the future – whether by investing in renewables, exploring new ways to store energy or developing technology that helps the world to use energy more efficiently.

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.

A Rewarding Place to Work

• Combine our creative, collaborative environment and global operations with an impressive range of benefits and joining Shell becomes an inspired career choice.

• We’re huge advocates for career development. We’ll encourage you to try new roles and experience new settings. By pushing people to reach their potential, we frequently help them find skills they never knew they had, or make career moves they never thought possible.

• 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 as Data scientists to deliver Process Analytics Projects for different SAP Business processes within Shell.
• 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.

What’s the role? 

• Clearly articulate the challenges / opportunities in business / function that can be supported by Process 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
• Explore, Learn and implement advanced analytics capabilities in SAP business process through techniques such as Predictive analytics, text analytics, Machine learning and Deep learning

What we need from you?

Required Education:

• Degree in Statistics, Finance, Computer Science, Information Systems, Mathematics, Engineering or related fields

Required Skills/Experience:

• Good functional understanding of SAP business process such as MM, WM, SD, LE, PP, PM, FICO, (any 2 Mandatory)
• Hands on experience working with SAP tables and structures (Creations of Views, stored procedures)
• Minimum of 5+ years of experience working in Analytics, Business Intelligence, and Statistical Modelling
• Hands on experience with techniques such as Predictive analytics, Text analytics, Machine learning and Deep learning Experience
• Proficient in SQL, ABAP, Python, R or any other programming language (at least any 2 Mandatory)
• Preferred working experience with process mining tools such as Celonis, Process X-ray, Process Gold, Mint, etc.
• Preferred experience working in any of two of the Finance / Business Processes such as Procure to Pay, Accounts Payable, Order to Cash, Accounts Receivable, Indirect Tax, General Ledger, Fixed Assets, Maintenance Work Order, Production order, etc.
• Prior experience of working with data visualization tools such as PowerBI, SpotFire, Tableau or Qlikview preferred

Company Description

Shell Business Operations (SBO) is a chain of operational centers that form an integral part of Royal Dutch Shell. We influence business development for Shell globally, enabling the work of 93,000 employees in over 70 countries across the world. SBO Chennai is focused on driving excellent performance that enable Shell to operate in a global competitive and ever-changing business environment.