Data Scientist-Senior Manager

the role

for you.

What your days will look like:

Leading cross-functional product squads - 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 and AI 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 

This role is for you if:

Demonstrable practical project experience (professional or academic) in using applied analytics to solve business problems, including:  Advanced 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;  Proven experience managing and leading delivery of diverse, cross-functional teams that have a blend of onshore and offshore resources, quality controlling the outputs and providing coaching and mentoring of the team members 

What you’ll receive from us:

No matter where you may be in your career or personal life, our are designed to add value andsupport, 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.