AI Product & Data Science Manager

PwC UK; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Flexible working

Private medical cover

Volunteer days

Job summary

PwC UK is expanding its Data & AI Consulting team to design, build, and deliver AI-powered products that create measurable business value. You will work in cross-functional squads with AI Engineers, Data Scientists and Product Designers to launch client solutions and scale them across industries.

The role emphasizes rigorous data science, model interpretability, cloud deployment, and collaboration with sector-go-to-market teams to drive outcomes.

Qualifications

• Experience across the data science lifecycle, from feature engineering to deployment and monitoring.
• Strong programming skills in Python and SQL with practical ML/AI delivery experience.
• Hands-on experience with ML frameworks (TensorFlow, Keras, PyTorch, MXNet) and cloud platforms (Azure, AWS, GCP).
• Familiarity with Agile and DevSecOps practices and version control (Git).
• Ability to explain complex data concepts clearly to both technical and non-technical audiences.

Responsibilities

• Join a cross-functional product squad to launch and scale AI client solutions.
• Design data science approaches balancing rigor, interpretability, and scalability.
• Collaborate with sector teams and architects to identify challenges and priorities.
• Productionise models on cloud platforms using MLOps and DevSecOps practices.
• Monitor model performance and user feedback to refine algorithms and features.
• Embed responsible and explainable AI principles compliant with PwC standards.

Skills

Python

SQL

TensorFlow

Keras

PyTorch

MXNet

Git

Data storytelling

Cloud platforms

DevSecOps

Tools

Git

Job description

PwC UK is expanding its Data & AI Consulting team to design, build, and deliver AI-powered products that create measurable business value. You will work in cross-functional squads with AI Engineers, Data Scientists and Product Designers to launch client solutions and scale them across industries.

The role emphasizes rigorous data science, model interpretability, cloud deployment, and collaboration with sector-go-to-market teams to drive outcomes.