Job Description
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
