# Data Scientist at Procter & Gamble

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> Responsibilities: - Define and scope analytics/AI tasks from

- **Company:** Procter & Gamble (https://jobs.trythestack.co/companies/procter-gamble)
- **Location:** Switzerland
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, SQL, Machine Learning, Spark, Statistics, Operations Research, Generative AI, Agentic AI, Deep Learning, Reinforcement Learning, Optimization, Simulation, Git, CI/CD, Azure, GCP
- **Posted by employer:** 2026-07-17
- **Added to The Stack:** 2026-07-17
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://pg.wd5.myworkdayjobs.com/1000/job/GENEVA-BUSINESS-CENTER/Data-Scientist_R000155037 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/data-scientist-procter-gamble

## About the role

Responsibilities:
- Define and scope analytics/AI tasks from ambiguous business questions, including hypotheses and success metrics.
- Perform exploratory data analysis, feature engineering and model development using ML and OR methods.
- Prototype and test Generative/Agentic AI applications where they provide clear value (copilots, assistants, workflows).
- Collaborate with Data/AI Engineering to productionize models and follow software engineering best practices (Git, testing, CI/CD).
- Own model validation, deployment support, monitoring and iterative improvement in cloud environments.
- Communicate results and technical trade-offs to stakeholders and contribute to team knowledge sharing.

Requirements:
- Practical experience in data science or related role (2–5 years) with delivered projects or prototypes.
- Strong programming skills in Python and SQL; experience with Spark or similar data platforms is a plus.
- Good foundations in statistics, ML and experimental thinking; familiarity with optimization/simulation is beneficial.
- Experience or exposure to cloud platforms (Azure, GCP) and productionization practices (CI/CD, testing).
- Strong collaboration and communication skills, ability to work across product, engineering and business teams.

## Responsibilities

The role involves designing and deploying scalable AI and analytics solutions to solve complex business problems. Responsibilities include end-to-end ownership of models, from problem definition and feature engineering to productionization in cloud environments.

## Requirements

Candidates need strong programming skills in Python and SQL, along with a solid foundation in machine learning and statistics. Experience with large-scale datasets, cloud environments, and software engineering best practices is highly valued.

## FAQ

- **Is this Data Scientist role still open?** It was posted on 2026-07-17. Listings more than 30 days old may no longer be active, so check Procter & Gamble's site before applying.
- **Does Procter & Gamble offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Procter & Gamble's site.
- **Where is this role located?** The listing gives the location as Switzerland. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, SQL, Machine Learning, Spark, Statistics, Operations Research, Generative AI, Agentic AI, Deep Learning, Reinforcement Learning, Optimization, Simulation, Git, CI/CD, Azure, GCP.

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## Notes for agents

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