Data Scientist at Procter & Gamble
May no longer be active — verify on the employer site
At a glance
- Company
- Procter & Gamble
- Location
- Switzerland
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
✨ The Stack take on this Procter & Gamble job
Updated 2026-11-05, from our data and official sources.
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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.
Key skills
- Python — in 1200 other listings on The Stack
- SQL — in 545 other listings on The Stack
- Machine Learning — in 291 other listings on The Stack
- Spark — in 54 other listings on The Stack
- Statistics — in 53 other listings on The Stack
- Operations Research — in 5 other listings on The Stack
- Generative AI — in 58 other listings on The Stack
- Agentic AI — in 39 other listings on The Stack
- Deep Learning
- Reinforcement Learning
- Optimization
- Simulation
- Git
- CI/CD
- Azure
- GCP
On The Stack (as of 2026-11-05)
Frequently asked questions about Procter & Gamble
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.