Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Organisation Strategy
Management Level
Manager
Job Description & Summary
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’rerecognised by industry analysts, such as Gartner and IDC, as a market-leading Data & AI services consultancy and are actively working with clients to design,developand deliver AI-powered products and data capabilities that achieve tangible outcomes and business value.
We’relooking for self-starting, progressive, and inquisitive individuals who want to shape the future of how AI is applied inreal businesscontexts.You’lljoin a collaborative and entrepreneurial team that combines deep technicalexpertisewith 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 teamthat’sre-imagining the role of AI in professional services, this could be the role for you.
What your days will look like:
- Working as part of a cross-functional product squad – including AI Engineers, Product Designers, DataScientistsand 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 toidentifyclient challenges,demonstrateproduct capabilities, gather feedback, and inform development priorities
- Collaborating closely with engineers to productionise models on cloud platforms (Azure, AWS, or GCP) usingMLOpsandDevSecOpspractices
- Working with the Product owner tomonitoringmodel 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:
- 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, orMXNet;
- Familiarity with Agile andDevSecOpspractices, including use of Git for version control;
- Exposure to cloud environments (Azure,AWSor 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
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.
- 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
- much more
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation {+ 22 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Up to 60%
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date
November 23, 2025
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