🚀 Internship

Post Doctoral Statistics Placement 18 Months

🚀 Placement Program


Rolling basis


Procter & Gamble (P&G) are a leading global consumer goods company whose winning brands, such as Gillette, Fairy and Oral-B, are built around the model of innovation. Whatever your passion is, we want to ignite your potential to become your very best self! We hold true to our purpose, values, and principles as we seek to make a difference in the world around us. You will engage in meaningful work that will touch the lives of others and have a real impact.

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Area of Responsibilities

Research & Development


  • You will consult on all aspects of statistics to meet the changing needs of the business, ranging from upstream science through to the analysis of consumer trials. Consulting covers the design of studies as well as the analysis and interpretation.
  • Project work may be one-off pieces, but more typically you will be a fully‑integrated part of a multi‑disciplinary team with long‑term objectives.
  • Areas of research include, among many, consumer understanding and technical method development.
  • Examples of techniques used are hypothesis testing, predictive modelling, multivariate techniques, and machine learning.
  • Work ranges from early innovation to late-stage market support.
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  • A PhD in Statistics or a closely related field.
  • A strong technical breadth and depth in Statistics. Key areas of proficiency you will likely have for the role are statistical modelling, multivariate analysis and design of experiments.
  • Being comfortable and competent in using a range of statistical software packages (R and JMP are of advantage, SAS or Python might be alternatives).
  • Additional knowledge of machine learning methods and tools, data mining, optimization, simulation, and predictive modelling and adaptive designs are welcome skills in this role.
  • Enquiring mind and curiosity about science and how data and statistical analyses can be used. Being able to connect and develop ideas and be innovative are desirable attributes.
  • Demonstrated ability to partner and effectively communicate with managers, scientists, researchers, and others whose statistical knowledge may be limited.
  • Good written and oral communication skills are essential as is an ability to form collaborative relationships and build effective networks.
  • Ability to work efficiently with colleagues located remotely.
  • Personal efficiency and management of a broad workload is important to success, especially as you will have a lot of independence.
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