Join to apply for the Data Scientist-Manager role at PwC UK.
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.
What Your Days Will Look Like
* 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 rigor, 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
* 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 outputs to ensure analytical rigor 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
We offer a range of benefits designed to add value and support, recognising and rewarding you fairly for your contributions. The benefits include 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.
Seniority Level
Entry level
Employment Type
Full‑time
Job Function
Engineering and Information Technology
Industries
Accounting
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