Data Science Internship at Procter

4 settimane fa

Pomezia, Lazio, Italia Procter & Gamble A tempo pieno

About the Role

We are seeking a highly motivated and talented Data Science Intern to join our team at Procter & Gamble. As a Data Science Intern, you will have the opportunity to work on exciting projects that drive business growth and innovation.

Key Responsibilities

  • Develop analysis of equipment and work processes with relevant data sources by identification of performance indicators
  • Engage project teams to understand project needs/requirements and provide technical expertise with data and analytical tools
  • Design digital solutions that facilitate the access to information contained in the data by providing access, pertinent analysis, appropriate visualization techniques as well as the workflow to support efficient decision making in production environment
  • Collaborate with data leaders and multi-discipline teams to design, develop and ensure critical data systems infrastructures and integration offer critical data model availability and scalability
  • Design of digital solutions to be embedded into our production control strategies
  • Support roll-out of successful solutions by defining scale-up approach and global deployment strategy Data Model definition and documentation for deployable solutions
  • Explore emerging capabilities and Artificial Intelligence/Machine Learning for flawless integration and application between data scientist, functional specialists and their key user cases
  • Operate with Fast Cycle Learning mindset

What We Offer

  • A 6 month paid internship with a support for accommodation if needed
  • A challenging engineering assignment from Day 1 in one of the most influential companies in the world
  • Development and delivery of innovative technologies supported by multi-million capital investments
  • Best in class onboarding program
  • Extensive and structured training process supported by a dedicated coach. Mentorship program to accelerate your growth and reach your potential
  • Informal and friendly work environment of a manufacturing plant

Requirements

  • University Master degree student in Computer Science, Computer Engineering, Data Engineering or similar with good academic results
  • In addition to good knowledge of English, we also look for skills such as technical curiosity, creativity, innovation, initiative, communication, leadership and the ability to work with others

Language

English

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