We are looking for a passionate Data Scientist Trainee who is eager to kickstart their career and take on a new challenge! This is a part-time, fixed term position (up to 0.8 FTE, up to 12 months) enabling you to get into the world of serious Data Science projects.
P&G Scaled Data Science Hub in Warsaw is dynamically growing and making an impact across key algorithmic investments of the Company. We work on various problems and algorithmic products related to Retail, Media, Digital commerce, R&D, Supply Chain, Productivity, Knowledge management, and more.
In this role, you will have the opportunity to learn about a specific business area and support algorithmic model needs. Our work spans traditional machine learning, deep learning, GenAI, optimization models, and statistical models, with a focus on understanding and addressing real-world problems.
At the Warsaw Hub, we specialize in developing and scaling algorithms while emphasizing impact, value, resilience, and reliability. Your contributions will support P&G's 100k+ employees and billions of consumers around the world.
You will join a world-class company that improves the lives of billions of consumers through data science. You’ll be welcomed into a global team of over 200 Data Scientists across the US, Panama, Switzerland, Belgium, Poland, Singapore, India, and China. This environment will provide you with ample networking and learning opportunities from scientists with diverse backgrounds and experiences. Additionally, our Warsaw Hub emphasizes knowledge sharing on a weekly basis, allowing you to gain exposure to various aspects of data science beyond your immediate responsibilities.
You will have the chance to work with our best-in-class P&G AI Factory platform, which is recognized by Harvard Business School, and contribute to improving our developer experience alongside our strong AI Engineering team.
With us, you will:
- Collaborate with product teams and business leaders to gain insights into the problems at hand, and work with AI & data engineering teams to support the automation and deployment of models.
- Assist in developing insights to contribute to the algorithmic evolution roadmap in your area of interest.
- Analyze data sets and learn how to translate consumer behaviors into actionable recommendations.
- Explore and apply machine learning techniques and algorithms to address business questions and propose solutions (the key focus for this traineeship with be GenAI).
- Gain a deeper understanding of machine learning, statistics, optimization, GenAI, and other advanced analytical models as they relate to real-world applications.
- Learn what it takes to build and maintain a resilient algorithmic pipeline, and understand how to measure an algorithm's impact and value.
- Write production-level code following best practices and improve your programming skills.