Senior 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
- 5–10 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:
- Convert complex business questions into clear analytics/AI problems with defined success metrics and evaluation plans.
- Perform exploratory analysis, feature engineering and model development on large datasets using ML and OR techniques.
- Apply Generative/Agentic AI to create copilots, decision-support tools and intelligent workflows where appropriate.
- Work with Data/AI Engineering to productionize models in cloud environments (GCP/Azure) using CI/CD and testing best practices.
- Own solutions end-to-end: problem scoping, modeling, validation, deployment, monitoring and iterative improvement.
- Present technical results to non-technical stakeholders and mentor junior team members.
Requirements:
- 5+ years of data science experience or a relevant PhD; demonstrated business impact from deployed models.
- Strong Python and SQL skills; experience with Spark or comparable large-scale compute frameworks.
- Solid grounding in ML, statistics, experimental design and familiarity with operations research methods.
- Experience building production-ready solutions in cloud platforms and working with Git, testing and CI/CD.
- Excellent communication skills and ability to collaborate across product, engineering and business teams.
Responsibilities
Design, build, and deploy scalable AI and analytics solutions to solve high-impact business problems. This includes end-to-end ownership from problem definition and modeling to productionization and monitoring in cloud environments.
Requirements
Requires 5+ years of experience in Data Science or a PhD in a related AI/ML field. Candidates must be proficient in Python, SQL, and machine learning, with a strong ability to communicate technical results to non-technical stakeholders.
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
- Generative AI — in 58 other listings on The Stack
- Agentic AI — in 39 other listings on The Stack
- Operations Research — in 5 other listings on The Stack
- Optimization — in 12 other listings on The Stack
- Simulation — in 5 other listings on The Stack
- Spark
- Cloud Computing
- Git
- CI/CD
- DevOps
- Statistics
- Feature Engineering
- Deep Learning
On The Stack (as of 2026-11-05)
Frequently asked questions about Procter & Gamble
Is this Senior 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, Generative AI, Agentic AI, Operations Research, Optimization, Simulation, Spark, Cloud Computing, Git, CI/CD, DevOps, Statistics, Feature Engineering, Deep Learning.