Data Scientist-Manager

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.

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• Work 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) to Agentic AI.
  
• Design and advise on the data‑science approach for your product, balancing rigor, interpretability, and scalability, and ensuring models are reusable across multiple client contexts.
  
• Partner with sector and go‑to‑market teams and solution architects to identify client challenges, demonstrate product capabilities, gather feedback, and inform development priorities.
  
• Collaborate closely with engineers to productionise models on cloud platforms (Azure, AWS, or GCP) using MLOps and DevSecOps practices.
  
• Work with the product owner to monitor model performance and user feedback, continually refining algorithms, enhancing feature design, and improving product outcomes over time.
  
• Embed responsible and explainable AI principles into development so outputs are trusted, transparent, and compliant with PwC’s standards.
  

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• Demonstrable practical project experience (professional or academic) in applying analytics to solve business problems.
  
• 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.
  
• Strong data‑storytelling and visualisation skills, with the ability to explain complex data concepts clearly to technical and non‑technical audiences.
  
• Intellectual curiosity with a disciplined, hypothesis‑led approach to validating, challenging, and refining outputs.
  
• Commercial curiosity and a desire to understand how analytics drives business outcomes.
  
• Collaborative mindset and experience working in diverse cross‑functional teams.
  

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• Seniority level: Entry level
  
• Employment type: Full‑time
  
• Job function: Engineering and Information Technology
  
• Industries: Accounting
  
• Location: Reading, England, United Kingdom
  
• Salary: £28,000.00 per year (fixed)