Salary: 30.000 - 30.000 € per year Requirements: Completed bachelors degree with strong academic results in statistics or equivalent background in a related field. Familiarity with a broad range of statistical methods, including Bayesian optimization and other sequential learning techniques. Ability to apply statistical engineering methodologies to define problems, develop experimental plans, model data, extract insights, and scale successful models. Available for a duration of at least 6 months. Ability to work effectively with diverse groups with creativity, innovation, and initiative. Skilled in making complex decisions using data, while also trusting instincts. Strong communication and collaboration skills, able to explain complex statistical concepts to non-experts. Proficient in English. Awareness of coding skills in Python, R, and/or SAS; ability to connect to cloud databases and write queries; foundational knowledge in machine learning/AI, JMP software, GitHub, SQL, and/or Databricks is a plus. Short work experience, internships, and studies abroad are considered a plus. Responsibilities: Explore and develop alternative, more affordable sampling techniques and tools with equivalent statistical confidence. Evaluate the foundations of qualification protocols, comparing them to state-of-the-art methods. Analyze historical data from qualification events to leverage prior experiences. Perform proper simulations in various scenarios to estimate the rate of attribute defects. Initiate a database that enables historical trend analyses. Evaluate possible applications of machine learning approaches, such as Genetic Algorithms. Integrate learning experiences to make a compelling case for the organization to implement applicable improvements. Technologies: AI Cloud Databricks GitHub Machine Learning Python SAS SQL HTTP Network SOAP More: At P&G, we are a leading consumer goods company that has been making life a little easier for 5 billion consumers worldwide for the past 185 years. Our people are our greatest asset, and we emphasize employee development and promotion from within. As part of our Engineering team, you will lead exciting projects and have a meaningful impact from Day 1 in Euskirchen. We offer competitive compensation, a wide range of social benefits including a flexible work environment and opportunities for personal development, as well as the chance to be part of a supportive team culture that values diversity and inclusion. last updated 5 week of 2026