Data Scientist-Senior Manager

PwC UK
Reading
3 months ago
Applications closed

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Data Scientist - Senior Manager – PwC UK


Join to apply for the Data Scientist - Senior Manager role at PwC UK.


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.


Key Responsibilities

  • 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.

Skills And Experience

  • 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.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Engineering and Information Technology
  • Accounting


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