Senior Data Scientist

Procter & Gamble

HybridPosted July 30, 2026

About the role

Senior Data Scientist – Model Risk Office, Warsaw Hub We are building a Scaled Data Science Hub in Warsaw and are seeking a passionate Senior Data Scientist to contribute to impactful work and take on new challenges. This role sits in the Model Risk Office, where a team of experienced Data Scientists assesses data science implementations for methodology gaps, identifies risk in algorithms under development, and provides guidelines to close them. We work across methodologies (machine learning, optimization/operations research, deep learning, GenAI) and business domains; knowledge of optimization/operations research in addition to ML is strongly desired.

Senior Data Scientist

Procter & Gamble

HybridPosted July 30, 2026

About the role

Senior Data Scientist – Model Risk Office, Warsaw Hub We are building a Scaled Data Science Hub in Warsaw and are seeking a passionate Senior Data Scientist to contribute to impactful work and take on new challenges. This role sits in the Model Risk Office, where a team of experienced Data Scientists assesses data science implementations for methodology gaps, identifies risk in algorithms under development, and provides guidelines to close them. We work across methodologies (machine learning, optimization/operations research, deep learning, GenAI) and business domains; knowledge of optimization/operations research in addition to ML is strongly desired.

In Warsaw Hub we specialize in developing and bringing algorithms to scale, focusing on impact, value, resilience, and reliability. Our work supports Procter & Gamble's 100k+ employees and billions of consumers worldwide. You will join a global team of over 200 Data Scientists across the United States, Panama, Switzerland, Belgium, Poland, Singapore, India, and China. You will have opportunities to network and learn from scientists with diverse backgrounds and seniorities. Our Warsaw setup emphasizes knowledge sharing on a weekly basis and offers a unique scope to expand beyond your core responsibilities.

Responsibilities - Partner with product teams and business leaders to fully understand problems, collaborating with data science, AI, and data engineering teams around the world to ensure reliable algorithmic solutions. - Develop insights to guide fellow data scientists and drive positive impact for People and Busin

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