Data Scientist - AI Evaluation & Benchmarking Manager at PwC
May no longer be active — verify on the employer site
At a glance
- Company
- PwC
- Location
- United Kingdom
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this PwC job
- 🏢 PwC has 22 jobs here, 17 with visa sponsorship see all
- 📊 28 Data Scientist jobs in the United Kingdom in the last 60 days see them
- 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
- 💡 No salary shown. Ask PwC if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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About the role
Responsibilities:
- Lead design and implementation of end-to-end benchmarking and experimentation workflows for AI/LLM evaluation.
- Build scalable evaluation frameworks, metrics, and reproducible pipelines that reflect best-practice research and client requirements.
- Develop, maintain, and harden experimentation infrastructure (CI/CD, containerisation) to ensure robustness and repeatability.
- Translate experimental results into clear, client-ready insights, demos, and technical recommendations.
- Influence model selection and technical strategy across engagements by combining engineering, statistics, and domain knowledge.
Requirements:
- Strong hands-on experience in data science and LLM experimentation, including structured evaluation frameworks.
- Proficiency in Python (including async programming and multithreading) and writing maintainable production-grade code.
- Experience deploying ML workloads to cloud platforms (Azure, AWS, or GCP) and familiarity with CI/CD and containerisation (Docker/Podman).
- Applied understanding of statistics and experimental design with the ability to convert results into actionable recommendations.
- Proven ability to manage fast-moving workstreams, operate autonomously, and demonstrate emerging leadership (influence, clear communication, mentoring).
Responsibilities
You will build and evolve AI benchmarking and experimentation platforms to enable robust model evaluation. Your work will involve designing end-to-end workflows and generating business-ready insights to influence AI strategy across client engagements.
Requirements
The role requires strong hands-on experience in data science and LLM experimentation using structured evaluation frameworks. You must be proficient in Python and have experience deploying machine learning workloads to cloud platforms.
Key skills
- Data Science — in 86 other listings on The Stack
- Python — in 1200 other listings on The Stack
- LLM experimentation — in 3 other listings on The Stack
- Machine learning — in 291 other listings on The Stack
- Cloud platforms — in 69 other listings on The Stack
- Azure — in 143 other listings on The Stack
- AWS — in 802 other listings on The Stack
- GCP — in 169 other listings on The Stack
- CI/CD
- Containerisation
- Docker
- Podman
- Statistics
- Experimental design
- Benchmarking
- Data engineering
On The Stack (as of 2026-11-05)
Frequently asked questions about PwC
Is this Data Scientist - AI Evaluation & Benchmarking Manager role still open?
It was posted on 2026-09-23. Listings more than 30 days old may no longer be active, so check PwC's site before applying.
Does PwC offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on PwC's site.
Where is this role located?
The listing gives the location as United Kingdom. It is marked on-site.
What skills does this role ask for?
The listing names: Data Science, Python, LLM experimentation, Machine learning, Cloud platforms, Azure, AWS, GCP, CI/CD, Containerisation, Docker, Podman, Statistics, Experimental design, Benchmarking, Data engineering.