Job Location
WARSAW - EU SUPPLY NETWORK HUBJob Description
Within our Demand Planning team, we forecast how much of our everyday essentials (like diapers, laundry detergents, disinfectants, soap or shampoos) our retail customers will order - helping P&G stay ready to meet that demand wherever and whenever it arises. 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 demand-forecasting models for the full product lifecycle (from product launch through discontinuation)
- Advance our forecasting engines with techniques such as time-series clustering and statistical/ML modeling (scikit-learn, stats models)
- Lead initiatives on feature engineering, model evaluation, and forecast-accuracy monitoring at scale
- Build and maintain robust, config-driven data pipelines using Databricks and PySpark
- Collaborate with cross-functional teams on end-to-end solution delivery — from prototype to production
- Contribute to our internal forecasting library and advocate for clean architecture, modular design, and long-term maintainability
- Lead cross functional teams and support management with a data-driven decision making
Job Qualifications
- Solid Data Science background in areas of: Time Series forecasting, Supervised learning, and ML/statistical algorithms (scikit-learn, statsmodels)
- Strong Python programming skills, with hands-on experience across the scientific stack (pandas, NumPy, SciPy)
- Experience turning models into production-ready, modular pipelines with clean architecture and config-driven design (e.g. Pydantic)
- Proficiency with version control (Git)
- At least 4 years of experience as a Data Scientist or a related position (Data Engineer / Software Engineer / AI Engineer / ML Ops)
- Excellent collaboration skills and working comfortably within a cross-functional team
- Shown success in leadership, problem solving and priority setting
- English proficiency and at least a Bachelor's degree
Nice to have:
- Experience building distributed data pipelines with PySpark on Databricks, and familiarity with SQL and Azure
- Exposure to demand/sales forecasting, product-lifecycle modeling, or forecast-accuracy evaluation
- Prior background knowledge of Supply Chain or FMCG domains
What we offer
- 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
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.
At P&G #weseeequal
We are an equal opportunity employer and value diversity at our company. At P&G we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work.
We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please click here if you require an accommodation during the application process. Please make sure to wait to hear back from us regarding your accommodation before proceeding with the online assessment, we thank you in advance for your patience.
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 timeJob Number
R000156162Job Segmentation
Experienced ProfessionalsSkills Required
- Solid data science experience with time-series forecasting, supervised learning, and statistical or machine learning algorithms
- Strong Python programming skills
- Hands-on experience with pandas, NumPy, and SciPy
- Experience building production-ready, modular, config-driven pipelines with clean architecture
- Proficiency with Git version control
- At least 4 years of experience as a Data Scientist or related professional
- Excellent collaboration skills in cross-functional teams
- Demonstrated leadership, problem-solving, and priority-setting abilities
- English proficiency
- Bachelor's degree or higher
- Experience with PySpark and Databricks for distributed data pipelines
- Familiarity with SQL and Azure
- Experience with demand or sales forecasting, product lifecycle modeling, or forecast-accuracy evaluation
- Supply chain or FMCG domain knowledge
Procter & Gamble Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Procter & Gamble and has not been reviewed or approved by Procter & Gamble.
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Fair & Transparent Compensation — Compensation is considered competitive and benchmarked against top industry peers, supported by formal pay‑equity audits and stated transparent principles. Feedback suggests pay is a strong draw, with raises described as attainable and benefits starting from day one of training.
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Healthcare Strength — Health coverage is broad and immediate, including medical, dental, vision, life and disability insurance, with mental‑health and telemedicine offerings expanded recently. This breadth and day‑one access contribute to a perception of reliable, comprehensive care.
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Parental & Family Support — Parental leave is inclusive under a global framework for all parents, with added recovery time for birth mothers. Adoption, fertility, childcare support and eldercare services further strengthen family support.
Procter & Gamble Insights
What We Do
Procter & Gamble Company is an American multi-national consumer goods corporation. P&G was founded over 180 years ago as a soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands, including Always®, Charmin®, Braun®, Fairy®, Febreze®, Gillette®, Head & Shoulders®, Oral B®, Pantene®, Pampers®, Tide®, and Vicks®. The design, development, growth and success of these products—and many more—is thanks to the innovative and insightful minds of our people. From Day 1, you’ll help make everyday life easier for our 5 billion consumers through billion dollar brands. With our large global footprint, there are many opportunities to work with P&G in multiple locations. We offer opportunities in approximately 70 countries and continually aim to attract, reward and advance the finest people in the world. As a "build from within" organization, we see 95% of our people start at an entry level and progress through the organization. Here, we want you to get your career off to a fast start. That's why we don't have any rotational development programs or gradual ramping-up periods: you’ll be able—and encouraged—to dive right in from day 1. Join us and help make life better through meaningful work that makes an impact from Day 1.
