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 & other sequential learning techniques Ability to apply statistical engineering methodologies to define problems, develop experimental plans, model data, extract insights, and scale models Minimum availability of 6 months Effective teamwork and collaboration with diverse groups Ability to make complex decisions using data and intuition Strong communication skills, able to explain statistical concepts to non-experts Proficient in spoken and written English Awareness of coding skills in Python, R, and/or SAS; ability to connect to cloud databases and write queries; foundations of machine learning; familiarity with JMP software, GitHub, SQL, and/or Databricks is a plus Short work experience, internships, and studies abroad are advantageous Responsibilities: Explore and develop alternative, more affordable sampling techniques & tools with statistical confidence Evaluate the foundations of qualification protocols and compare against state-of-the-art methods Analyze historical data from qualification events to leverage prior experiences Perform simulations to estimate rates of attribute defects Initiate a database for historical trend analyses Evaluate possible applications of machine learning approaches Integrate learning experiences to advocate for organizational improvements Technologies: Cloud Databricks GitHub Machine Learning Python SAS SQL HTTP Network SOAP More: At P&G, we are a leading consumer goods company with a rich history spanning 185 years. Our people are our greatest asset, and we focus heavily on employee development and promoting from within. We offer an exciting work environment from Day 1, competitive intern salaries, social benefits, and personal development plans. You will be part of multi-functional teams with a welcoming culture, and we provide diverse career perspectives and opportunities to work abroad after your studies. Our commitment to inclusivity ensures everyone feels welcome and valued. last updated 5 week of 2026