Data Scientist-Senior Manager in London

About the role: PwC’s Data & AI Consulting team is rapidly expanding as we invest in building a new generation of Artificial Intelligence (AI) products that transform how we deliver value to our clients. We’re recognised by industry analysts, such as Gartner and IDC, as a market-leading Data & AI services consultancy and are actively working with clients to design, develop and deliver AI-powered products and data capabilities that achieve tangible outcomes and business value. We’re looking for self-starting, progressive, and inquisitive individuals who want to shape the future of how AI is applied in real business contexts. You’ll join a collaborative and entrepreneurial team that combines deep technical expertise with sector knowledge and product thinking. We work in cross-functional squads to design, build, and launch solutions that create measurable impact for our clients and strengthen PwC’s position as a leader in trusted, responsible AI. If you want to apply your skills to complex challenges, help define new products, and be part of an ambitious team that’s re-imagining the role of AI in professional services, this could be 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 monitor 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 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.