Data Scientist - AI Evaluation & Benchmarking Manager
Pwc- Location
- Manchester · Leeds · Belfast +4
- Workplace
- —
- Employment
- —
- Salary
- —
Posted 8d ago
Line of Service
Internal Firm Services
Industry/Sector
Technology
Specialism
IFS - Information Technology (IT)
Management Level
Manager
Job Description & Summary
About the role
You’ll join our AI Research team as a Data Scientist - AI Evaluation & Benchmarking Manager, helping to shape and evolve the model benchmarking and experimentation capabilities that underpin AI delivery across PwC and our clients. You’ll work within a highly collaborative applied research environment that values curiosity, technical rigour and practical problem solving. In this role, you'll develop frameworks and experimentation workflows used to evaluate emerging AI models, driving evidence-based decisions for client engagements. We’re looking for someone who enjoys technical ownership, thrives in fastmoving environments and is motivated by building scalable, secure AI research infrastructure.
What your days will look like
You’ll play a key role in building and evolving our AI benchmarking and experimentation platforms, enabling robust and repeatable model evaluation. Your work will directly influence AI model selection and technical strategy across PwC projects and client engagements.
- Design and run end to end benchmarking workflows, from understanding client use cases, designing and running benchmarking strategies, and generating business ready insights
- Build scalable evaluation frameworks, metrics and pipelines, combining hands-on engineering with continuous review of academic literature to ensure our evaluation strategies reflect leading research and best practice.
- Develop, maintain and improve experimentation infrastructure, ensuring robustness and production grade engineering.
- Produce clear, client ready insights and support technical demos and deep dive sessions.
This role is for you if
- You have strong hands-on experience in Data Science concepts, or LLM experimentation using structured evaluation frameworks.
- You are highly proficient in Python, including asynchronous programming, multithreading and writing maintainable code
- You have experience deploying ML workloads to cloud platforms (Azure, AWS or GCP), with familiarity in CI/CD and containerisation (Docker/ Podman).
- You have applied knowledge of statistics and experimental design and can translate findings into actionable recommendations. You are comfortable managing fastmoving workstreams and operating autonomously.
- You demonstrate emerging leadership behaviours - taking initiative, influencing technical direction, communicating clearly and supporting the development of others.
- You are motivated by ownership and excited by the opportunity to shape AI research platforms that directly impact client engagements.
What you’ll receive from us
No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions.
We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required
Degrees/Field of Study preferred
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation {+ 22 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Up to 20%
Available for Work Visa Sponsorship?
Yes
Government Clearance Required?
No
Job Posting End Date
August 21, 2026
Skills
- LLM
- Python
- Machine Learning
- Azure
- AWS
- GCP
- Docker
- Podman
- C++
- Deep Learning
More jobs at Pwc
All 253Artificial Intelligence Manager (AC Manila)
Pwc · Manila (AC) - Six/Neo Building, BGC Taguig City · today
Mobile App Developer - Senior Associate
Pwc · Bangalore · today
Validation Engineer - Senior Associate
Pwc · Bangalore · today
Android Lead Engineer - Manager
Pwc · Bangalore (SDC) - Bagmane Tech Park · today
Data Integration Architect - Manager
Pwc · Bangalore (SDC) - Bagmane Tech Park · today
Similar roles
Data Science Manager
Entain · London, England, United Kingdom · today
Lead Data Analyst - Wise Business - Commercial & Sales
Wise · London, United Kingdom · today
Senior Data Engineer, Delivery Centre- Newcastle
Omnicom · London, London, United Kingdom · today
Senior Clinical Data Science Lead
Icon · UK, Reading · Spain, Madrid · Ireland, Dublin +1 · today
Data Analyst - Fraud
Moniepoint · London, United Kingdom · today
Data Engineer
Jane Street · London, England, United Kingdom · today