P&G - Data Science and Engineering Industrial Placement

Procter & Gamble (P&G)

Do you enjoy design research and analytic frameworks? Are you looking for a placement opportunity that will challenge you and enable to lead from Day 1 solving real industry problems? How would you like to use your creative and analytical skills alongside business leadership in your everyday work!

If so, then our Data Science and Engineering Industrial Placement is the perfect opportunity for you!

We are looking to recruit candidates to work in our Reading Innovation Centre for 12-month placements starting in summer 2023.

WHAT IS DATA SCIENCE AND ENGINEERING AT P&G?

Data Science and Engineering is where business, innovation and technology integrate to build a competitive advantage for PandG. Our mission is clear-- we deliver technology to help win with consumers. Our Data Scientist are diverse business leaders who apply technological skills to deliver ground-breaking business models and capabilities. Whether your role is to build an IT innovation strategy for a business, protect our critical information systems and assets, or lead a strategic supplier in our cutting-edge shared services organization, your technical skills will be recognized and rewarded.

Data Scientists:

Use diverse Datasets and advanced analytics to direct the engagement of our business leaders. We need someone who can execute research and analytics, including data source identification, processing, modelalgorithm development and deployment. Familiarity with NLP, CV, IoT model development will be advantageous.

Data Engineers:

In this role, you will be developing and maintaining minimal viable prototypes to scalable data pipelines that will ingest, transform and distribute numerous data streams in support of key Product supply work processes. You’ll be supporting and collaborating with Manufacturing locations, distribution centres with other Data Scientists and IT professionals to develop data driven insights. We need someone familiar with Cloud technology, algorithm deployment, business intelligence tools and has the ability to capture, integrate and clean data to support edge analytics solutions. Data solutions will require technical choices starting from experimentation through proof of concept and often through delivery.

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.

Continuous coaching – 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 multifunctional, diverse environment and developing your talents and ideas.

Dynamic and respectful work environment – employees are at the core, we value every individual and encourage initiatives, promoting agility and worklife balance.

Benefits - A job with PandG offers a competitive salary as well as other great benefits such as a great pension and share schemes. To find more information about our benefits package take a look here: https:www.pgcareers.combenefits

Job Recommendation: successful interns will be recommended for hire for a full-time role with PandG upon graduation

Qualifications

REQUIREMENTS FOR THE ROLE:

Are a penultimate or final year student from one of the following degree sets: Statistics, Applied Mathematics, Economics, Computer Science, Data Science, Business Analytics, Data Analytics, Operation Research, Software Development, Computer or Electrical Engineering or a similar quantitative field.

Job locations: Reading, England, United Kingdom

Job Type: Full time

REQUIREMENTS FOR THE ROLE:

Are a penultimate or final year student from one of the following degree sets: Statistics, Applied Mathematics, Economics, Computer Science, Data Science, Business Analytics, Data Analytics, Operation Research, Software Development, Computer or Electrical Engineering or a similar quantitative field.