Job Description

Job Location

WARSAW - EU SUPPLY NETWORK HUB

We’re looking for a Data Scientist who is passionate about solving real-world problems with machine learning and data engineering. In this role, you’ll design and deploy scalable models, build data workflows, and contribute to analytics solutions that directly impact business decisions.

What You’ll Do

• Build and deploy ML models for forecasting, optimization, and product performance analysis

• Develop feature engineering pipelines, evaluate models, and ensure reproducibility

• Work with large-scale datasets using Databricks, PySpark, and Azure Data Factory

• Collaborate with stakeholders to turn business needs into data-driven solutions

• Experiment with LLMs and embeddings to prototype assistant-style data tools

• Contribute to clean, modular, and maintainable data science codebases

Why This Role Stands Out

You’ll get to work on end-to-end projects, from data to deployment, while gaining exposure to modern ML practices and large-scale business applications. This role gives you the technical depth of a data science position, with room to grow into leadership or product-focused roles in the future.

Job Qualifications

Tech Stack

• Languages: Python (Pandas, NumPy, scikit-learn), SQL

• Cloud: Microsoft Azure (ADF, Blob)

• Data & ML Tools: Databricks, MLflow

• Version Control / CICD: Git

• Other: Familiarity with APIs, automation workflows, and applied LLM experimentation

What You Bring

• Solid experience in data science / ML workflows (forecasting, sales analytics, customer insights)

• Strong skills in data preprocessing, feature design, and model evaluation

• Familiarity with MLOps principles, including experimentation tracking and performance monitoring

• Ability to translate business questions into data science solutions and communicate results clearly

Nice-to-Have / Areas to Grow Into

• Scaling LLM-powered applications into production environments

• Stronger grounding in causal inference / experimental design

• More hands-on with product-facing data science or AI-based products

• Expanding expertise in UX for data apps

What we offer

• Responsibilities as of day 1. You will have project ownership and autonomy to deliver change and results from the beginning

• Dynamic and encouraging work environment. At P&G our employees are at the core, we value every individual and encourage initiatives, promoting agility and work/life balance

• Continuous mentoring, you will work with hardworking people and receive ongoing coaching and mentoring from your line manager and other colleagues. Corporate and functional training will enable you to succeed and develop from day one

• Industry Certifications (ITIL, DevOps, MS portfolio etc), full additional benefit program like private health care, P&G Dynamic Living programs like sport cards, in-office fitness center, PG stock options, saving plans, lunch subsidy, regular salary increases and possible promotions, flexible work arrangements, mentoring programs & trainings

• Big Picture understanding of P&G IT and Product Supply organization and its Services in global multi-functional teams with several locations across continents

Who we are

P&G was founded over 180 years ago as a simple soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We’ve spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams has helped us grow into a global company that is governed responsibly and ethically, that is open and transparent, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.

We commit to provide you with equal opportunities in employment! We value diversity and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

At Procter & Gamble, we embrace a hybrid work model that combines the flexibility of remote work with the collaborative benefits of in-office engagement. Employees can enjoy the option to work from home two days a week while also spending time in the office to foster teamwork and enhance communication.

Kindly be advised that at P&G, employment is exclusively extended on the basis of "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.

Job Schedule

Full time

Job Number

R000138447

Job Segmentation

Experienced Professionals