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.
REQUIREMENTS FOR THE ROLE:
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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