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Gillette Industrial Data & Analytics Placement 2023

Electrical/Computer Science/Maths/Analytics.

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Want to work on cutting-edge technologies? Do you enjoy playing on a winning team and being part of something bigger than yourself? If so, then our Gillette Industrial Data & Analytics Internship is the perfect opportunity for you!

Working at P&G UK

Right from the start you will be entrusted to work on some of the largest and most recognisable brands in the world.

About the role:

This opportunity is to join Gillette’s Process and Engineering Department as an intern in the Industrial Data & Analytics team. In this role you will drive process and equipment technology innovations for worldwide manufacturing sites to accelerate speed-to-market, and reach the best in class efficiency and quality targets for billion-dollar products like Gillette Fusion and Venus.

Responsibilities may include:

  • Implementing Artificial Intelligence/Machine Learning (AI/ML), Edge/Cloud Computing, Virtual Reality, Internet of Things (IoT) in Gillette processes and equipment.
  • Delivering data engineering, data visualizations, or machine learning algorithms by owning Data Engineer, Data Analyst, or ML Engineer roles based on the project requirements.
  • Combining strong technical skills with a logical problem-solving approach to deliver smart, creative, best-value solutions.
  • Considering P&G’s Ambition 2030 Sustainability goals in driving end solutions: 50% less virgin plastic, 100% recyclable packaging, 30% less energy consumption within manufacturing sites.
  • Defining the strategy and clearly communicating the status, schedule, and risks of your projects.
  • Collaborating with global multi-functional project teams to ensure on-time delivery, within budget and meeting quality and performance targets.
  • Participating in risk assessments and the application of internal and external standards to deliver best in class cyber security, quality, and performance.

What to Expect: 

We offer 3 – 6 months internship placements with a potential start date between April and July 2023 at our Reading Innovation Centre.



  • Studying for a Bachelor’s or Master’s Degree in one of the following fields: Electrical Engineering, Automation Engineering, Computer Science/Engineering, Statistics, Applied Mathematics, Data Science, Business Analytics or a related field.
  • In the penultimate or final year of your degree.
  • Preferred Experience with any of the following Analytical Tools/Applications:
  • Big Data Ecosystem: SQL, Azure Databricks.
  • Scientific Computing: Python, C++, Java.
  • Deep Learning frameworks: Tensorflow.
  • Data Management Systems: IoT Edge/Cloud architecture.
  • Business Intelligence tools: such as KNIME, Power BI.
  • Software development environment: GitHub, Azure DevOps.

What we offer you: 

  • Responsibilities as of Day 1 – you will feel the ownership of your project from the beginning, and you will be given specific projects and responsibilities from a team that includes senior management and experience the impact you can have in our business early on.
  • Technical focus – having the opportunity to put your technical skills to work on intellectually ambitious problems.
  • Continuous development - you will work with passionate people and receive both formal training as well as day-to-day mentoring from your manager, enabling you to grow in a diverse environment and develop your talents and ideas.
  • Dynamic and respectful work environment – employees are at the core, we value every individual and encourage initiative, promoting agility and work/life balance.
  • Team working – you will improve your team working and management skills through practical experience and interactive training courses.
  • Benefits - we offer an attractive remuneration package on top of a great learning experience, and successful interns have the potential to receive a Job Offer after they graduate.
  • Business Travel – opportunities to travel globally to successfully deliver project requirements.

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Job ID Number: R000061579
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Opportunity Overview

  • Deadline: January 29th, 2023
  • Starting: April 2023
  • Multiple vacancies
  • Starting Salary: Competitive + benefits
  • All grades
  • 3–6 months
  • Reading
    (Show map)

Preferred Disciplines...

  • Analytics
  • Computer Science
  • Data Science
  • Electrical
  • Information Technology
  • Statistics

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