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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• 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 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.
  

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• 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.
  

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• Entry level
  

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• Full‑time
  

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• Engineering and Information Technology
  
• Accounting