Data Scientist

P&G was founded over 180 years ago as a simple soap and candle company. Today, we're the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but significant ways. We've spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams have helped us grow into a global company that is governed responsibly and ethically, that is open and clear, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.

Dedication from Us:

You will be at core of Ground- breaking innovations, be given exciting opportunities, lead initiatives, and take charge and responsibility, in creative workspaces where new insights thrive. All the while, you'll receive outstanding training to help you become a leader in your field. What we Offer: Continuous mentorship – work with peers and receive both formal training as well as day-to-day mentoring from your manager multifaceted and encouraging work environment– employees are at the centre, we value every individual and support initiative, promoting agility and work/life balance.

Overview of the job

Provides an ideal place to work on ground-breaking upstream improvements related to the manufacturing and processing of our leading products with intelligent, connected technologies driving the 4th industrial revolution. Our aim is to ignite your potential and equip you to enhance the capability, safety, and efficiency of all our systems while reducing cost and boosting sustainability.

Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.

Your team

This role reports to business Dry Laundry global Platform leader. You will be working with project teams across Engineering, Manufacturing and Quality across the globe.

How success looks like

• Enabling savings every year on base budget as per the masterplan
• Delivering touchless digital transformation masterplan and reapplying across the globe.

Responsibilities of the role

• Provides technical leadership in supporting OU innovation projects.
• Acts as a key enabler in leading and delivering results against challenges.
• Works with innovation team looking at new platforms, machine control, data processing and analytics. Helps develop capability in others.
• Develop and plan required analytic projects in response to business needs. Leverage data science tools to tackle the toughest process problems in the region.
• Develop new analytics/predictive/prescriptive modeling methods and/or tools as required. Propose prescriptive analytic models to build robust and fault-tolerant process control strategies to reduce Operations Effort and improve product quality
• Work with process/equipment authorities and application developers to identify data relevant for analysis.
• Supply together with process/equipment owners and ITOT to the development and evolution of data models for analytical capabilities. Own data model and maintenance and development for hub-site
• Develop and maintain key data pipelines across selected sites globally
• Contribute to define work processes to deploy and maintain predictive/analytical modeling architectures, modeling standards, alarming and reporting, and data analysis methodologies.
• Conduct external focus research to drive suggestions on analytical modeling products, services, protocols, and standards that might support and speed-up the smart manufacturing journey.
• Identify, diagnose, and resolve prognostics model performance issue.
• Leverage Reliability Engineering improve with data science to develop new solutions to reduce losses.