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Procter & Gamble

Senior Data Scientist (Supply Chain Planning)

Procter & Gamble is hiring a Senior Data Scientist (Supply Chain Planning) in Warsaw, Poland. Level rates it ; you can apply on Procter & Gamble.

Level's read on this job

  • Level rates this data scientist role Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include scikit-learn, Databricks and Python.
  • Level classifies it as a senior role.
  • Level lists 875 other open roles at Procter & Gamble.

AI in this role

Design, develop, and deploy demand-forecasting machine learning models and production-ready pipelines for supply chain planning.

scikit-learnDatabricksPythonStatsmodelspandasNumpyScipyPySparkGitAzureSQL
ml-opsai-evaluationtime-series-forecastingmachine-learningstatistical-modelingfeature-engineeringdata-pipelines

Job Location

WARSAW - EU SUPPLY NETWORK HUB

Job 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 time

Job Number

R000156162

Job Segmentation

Experienced Professionals

How we rate this

Senior Data Scientist (Supply Chain Planning) at Procter & Gamble rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsAI EvaluationTime Series ForecastingMachine learningStatistical ModelingFeature EngineeringData Pipelinesscikit-learn

Also common in data scientist jobs at this level

Pay

Typical data scientist job
$167k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

  1. How do you monitor a model once it's live, and how do you know it needs retraining?
  2. How do you decide that one model's output is better than another's for a given task?
  3. Tell me about a project where time series forecasting was part of your work. What did you do?
  4. Tell me about a project where machine learning was part of your work. What did you do?
  5. Tell me about a project where statistical modeling was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: ML Ops, AI Evaluation, Time Series Forecasting, Machine learning, and Statistical Modeling. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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