Internship/Thesis Project: “Development of Optimized Sampling vs Bin-SPRT in Qualification of High-Speed Assembly Lines” in Euskirchen bei Procter & Gamble

Job Location

Job Description

YOUR FUTURE EMPLOYER

From its foundation 185 years ago as a soap and candle start-up, P&G today is a leading consumer goods company. We are home to iconic, trusted brands that touch 5 billion consumers worldwide and make life a little bit easier in small but meaningful ways.

Our people are our greatest asset: with our philosophy of promotion from within, we place strong emphasis on employee development and are committed to finding and fostering world-class talent. Learn from our inspiring leaders, shape our supportive and welcoming culture, and place your personal development at the core of your work!

YOUR INTERNSHIP / THESIS PROJECT

Are you eager to lead exciting projects and have a meaningful impact with your ideas?At P&G, our Engineering team delivers the technologies that make product innovation possible. Together, we create irresistible, meaningful, and sustainable experiences for our consumers. Every change we make in our production systems meet rigorous qualification standards with solid foundation in statistics, so that the quality of our products is ensured at all times.

From Day 1, you will be evaluating the foundations of our approach to qualification protocols for high-speed product assembly lines, compare versus state-of-the-art and develop alternative, more affordable techniques & tools with equivalent statistical confidence. You will define sampling techniques more economical than currently used (Binomial SPRT) to estimate rate of attribute defects. You will analyze historical data from qualification events and study opportunities to leverage prior experiences, e.g. accounting for factors or events influencing total probabilities, and create a database for further historical trend analyses. You will explore and propose possible applications of ML approaches (e.g. Genetic Algorithms) leveraging historical/converter data & prediction of defect rate, to eliminate unnecessary sampling while maintaining confidence levels. You also will leverage all your learning experience and develop a compelling case for the organization to drive implementation of the improved approach.

We believe expertise in one or more of the following techniques may be relevant: Bayesian optimization, Network meta-analysis, Gaussian Process Modeling, and Mixed effect modeling, as well machine learning modeling techniques.

Job Qualifications

YOUR PROFILE

• You are a bachelor or master student with a minimum of 2 semesters of studies completed and strong academic results.

• You are available for a duration of 3-6 months.

• You work effectively with diverse groups of people by embracing creativity, innovation, and initiative.

• You are skilled to make complex decisions using all the data available but confident to use your gut feeling and instinct.

• You have a background in statistics, or a related field and you are familiar with a broad range of statistical methods (e.g. foundation in Bayesian optimization & other sequential learning techniques), along with passion for applying statistical skills to partner disciplines in ways that accelerate business processes.

• You have strong communication & collaboration skills, with an ability to explain sophisticated statistical concepts to non-experts and maintain relationships both within our immediate team and several partner organizations.

• You have coding skills in Python, R, and/or SAS & ability to connect to cloud databases and write queries to download data.

• You have the ability to apply statistical engineering or similar methodologies to (1) define problems and providing structure and metrics for solving them, (2) develop experimental plans, (3) model data, (4) extract insights, and (5) scale successful models for broader use.

• You can speak and write proficiently in English.

• Additional awareness of any of the following would be an advantage: Foundations of machine learning / artificial intelligence; JMP software; GitHub; SQL and/or Databricks.

• Short work experience, internships and studies abroad are considered as a plus.

WHAT WE OFFER

• Exciting work and responsibility from Day 1.

• A competitive internship salary (monthly starting salary 2,100€).

• Wide range of social benefits: e.g., flexible work environment, regular intern social connects, a buddy program, campus services such as fitness center and canteen etc.

• A customized personal development