Working as part of a cross-functional product squad
including AI Engineers, Product Designers, Data Scientists and Industry Sector Specialists
to launch and scale AI client solutions, from core data science products (e.g. pricing and forecasting) all the way through to Agentic AI
Designing and advising on the data science approach for your product, balancing rigour, interpretability, and scalability, and ensuring models are reusable across multiple client contexts
Partnering with sector and go-to-market teams and solution architects to identify client challenges, demonstrate product capabilities, gather feedback, and inform development priorities
Collaborating closely with engineers to productionise models on cloud platforms (Azure, AWS, or GCP) using MLOps and DevSecOps practices
Working with the Product owner to monitoring model performance and user feedback to continuously refine algorithms, enhance feature design, and improve product outcomes over time
Embedding responsible and explainable AI principles into development to ensure outputs are trusted, transparent, and compliant with PwC’s standards.

Practical experience across the data science lifecycle
from feature engineering and model design to validation, deployment, and monitoring
Fluency in Python, SQL, or similar programming languages
Experience using deep learning frameworks such as TensorFlow, Keras, PyTorch, or MXNet
Familiarity with Agile and DevSecOps practices, including use of Git for version control
Exposure to cloud environments (Azure, AWS or GCP) and a desire to build solutions that scale
The ability to explain complex data concepts clearly to technical and non-technical audiences, with strong data storytelling and visualisation skills
Intellectual curiosity with a disciplined, hypothesis-led approach
validating, challenging, and refining your outputs to ensure analytical rigour and business relevance
Commercial curiosity and the desire to understand how analytics drives business outcomes
A collaborative mindset
you enjoy working in diverse, cross-functional teams that have a blend of onshore and offshore resources.

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.

Data Scientist – Manager

Key skills