PwC

Data Scientist - AI Evaluation & Benchmarking Manager

United Kingdom · Work style not stated · Full time

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerPwC
  • LocationUnited Kingdom
  • Work styleWork style not stated
  • Employment typeFull time
  • Employer posted

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.

Show full description

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.

Youdemonstrateemerging leadership behaviours-taking initiative, influencing technical direction, communicatingclearlyand 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

Staying safe while you apply

  • Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
  • Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
  • Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

  • Check the fit.

    Compare the requirements with the experience you have confirmed, including gaps.

  • Prepare honestly.

    Build interview stories and application drafts from your own evidence.

  • Keep track.

    Save the role and record your own application status and follow-ups.

Create a free workspace or log in.

Data scientist jobs in United Kingdom

ROLIVA currently lists 71 open roles like this in United Kingdom.

Employers hiring for this

  • RELX12 open roles
  • Wise6 open roles
  • Preply4 open roles
  • LSEG3 open roles
  • Spotify3 open roles

Top skills asked for

Listings whose description mentions each term. A mention is not a requirement.

At a glance

  • Employment typeFull time
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

Python AWS GCP Azure Docker C++ LLM

Explore similar roles

Similar jobs

Allstate

Data Scientist

Canada

HybridFull time