Job Location

WARSAW - EU SUPPLY NETWORK HUB

Job Description

Poland - Warsaw – Konstruktorska office

Within our Supply Chain Planning team, we help make sure everyday use products (like diapers, laundry detergents, disinfectants, soap or shampoos) reach people reliably where and when they need them.

We’re looking for an ambitious Senior Data Scientist who thrives in high-impact environments, builds ML models, transforms them into production-ready pipelines, and understands the balance between technical excellence and business relevance. You’ll be joining a global organization with strong data maturity, where you’ll shape scalable solutions across forecasting, optimization, and applied analytics domains.

What You’ll Do

Design, develop, and deploy ML models across domains like time series forecasting, sales prediction, and customer behavior analysis

Lead initiatives on feature engineering, model evaluation, and performance monitoring at scale

Build robust data pipelines using Databricks, PySpark

Collaborate with cross-functional teams on end-to-end solution delivery — from prototype to production

Contribute to internal libraries and advocate for clean architecture, modular design, and long-term maintainability

Lead cross-functional teams and support management with decision-making

Job Qualifications

We are looking for

Solid Data Science background in areas of: Supervised learning, Time Series, ML Algorithms (XGBoost, LightGBM, scikit-learn)

At least 4 years of experience as a Data Scientist or a related position (Data Engineer / Software Engineer / AI Engineer / ML Ops)

Strong Python programming skills

Excellent collaboration skills and working comfortably within a cross-functional team

Shown success in leadership, problem-solving solving and priority setting

English proficiency and at least a Bachelor's degree

Nice to have

Knowledge of Git, SQL, Spark, Databricks, Azure will be helpful

Prior background knowledge of the Supply Chain or FMCG domains

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

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

R000135118

Job Segmentation

Experienced Professionals