We are looking for a passionate Data Scientist who is eager to make an impact on their career and take on a new challenge!

P&G Scaled Data Science Hub in Warsaw is dynamically growing and making impact across most key algorithmic investments of the Company. We work across problems and algorithmic products related to Retail, Media, Digital commerce, R&D, Supply Chain, Productivity, Knowledge management and others.

This particular role is for a Product Data Scientist in our Agentic AI subteam. P&G has heavily invested in AI and data science, building our own AI Factory platform, which also includes Agentic AI. In this role, together with AI Engineers you will own the development and direction of our Agentic AI framework, making sure it's able to address our growing list of use cases and provides superior UX for the data scientists.

P&G hires for careers, not for roles - in your future roles, you will be able to continue to grow your data science career in another core data science domain, AI Engineering or broader IT if you choose to.

In Warsaw Hub we specialize in developing and bringing algorithms to scale, always keeping impact, value, resilience, and reliability in mind. Our work impacts P&G's 100k+ employees and billions of consumers around the world.

You will join a world-class company improving lives of billions of consumers by applying data science. You’ll be welcomed within a 200+ global team of Data Scientists across US, Panama, Switzerland, Belgium, Poland, Singapore, India and China. You will be able to network and learn from scientists with a diverse set of backgrounds and seniorities. On top, in our Warsaw Hub, we do plenty of knowledge sharing on a weekly basis and have a unique job setup which will allow you to experience data science beyond your own key scope of responsibilities.

Our best-in-class P&G AI Factory platform you will use is an example taught about by Harvard Business School, and we continuously improve our developer experience, thanks to our strong AI Engineering team.

With us you will:

• Partner with product teams and business leaders to fully understand Agentic AI use cases,
• Collaborate with data scientists across the world to understand their user experience with building agents
• Develop your own insights to steer the Agentic AI framework evolution roadmap
• Answer business questions and propose solution for business problems by applying GenAI and Agentic AI techniques and models
• Further develop understanding of machine learning, statistics, optimization, GenAI and other advanced analytical models – and how to apply to real world problems
• Further learn what it takes to build and maintain a resilient algorithmic and agentic pipelines which pass the test of time, and what it takes for an algorithm to materialize it's impact and value
• Write production grade code applying best practices.

• At least a Masters in a quantitative degree (Statistics, Operation Research, Systems Engineering, Computer Science, Applied Math, Economics), or Barchelor/Engineer degree with consecutive data science experience
• At least 2 years experience with production grade Data Science / algorithmically enabled applications, with GenAI based solutions
• Interest and preferably prior experience working on building tools for data scientists
• Solid code writing capabilities - Python and Spark are preferable
• Strong technical & analytical skills (optimization, simulation, predictive modeling, experimentation etc)
• Knowledge of Cloud Infrastructure: Microsoft Azure, Google Cloud Platform, Kubernetes
• Proven success in leadership, problem solving and prioritising
• Strong collaboration skills and working comfortably across teams

Nice to have:

• Desired experience with Big Data ecosystem: Databricks, Spark, BigQuery
• Basic understanding of Business Intelligence Tools such as PowerBI, Tableau
• Experience with Agile DevOps, Github, Jira, Confluence - advantageous

• Work in an international Data Science team with global responsibilities (with large part of engineering and product teams located in Warsaw)
• Long-term career with development and growth opportunities
• Competitive salary and benefits program (private health care, life insurance, P&G stock options, saving plans, lunch subsidy, sport cards, in-office fitness center)
• Relevant trainings, certifications, conference participation
• Internal coaching programs & training
• Flexible working arrangements