Data Scientist-Manager

PwC UK; Glasgow; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Private medical cover

Flexible working

Volunteer days

Job summary

PwC UK’s Data & AI Consulting team is expanding as we invest in AI products that transform client value. You’ll join cross-functional squads to design, build, and launch AI-enabled data solutions, from core data science capabilities to scalable agentic AI, on cloud platforms such as Azure, AWS or GCP.

You’ll work with AI engineers, designers and data scientists in a collaborative environment that values practical impact, governance, and responsible AI principles, helping clients realise

Qualifications

• Practical experience across the data science lifecycle from feature engineering to deployment and monitoring.
• Fluency in Python/SQL or similar languages; solid data storytelling and visualization skills.
• Experience with deep learning frameworks (TensorFlow/Keras/PyTorch/MXNet) and MLOps practices.

Responsibilities

• Work as part of a cross-functional product squad to launch and scale AI client solutions from core data science products to Agentic AI.
• Design and advise on data science approaches balancing rigour, interpretability, and scalability; ensure models are reusable.
• Partner with sector and go-to-market teams to identify client challenges and inform development priorities.
• Collaborate with engineers to productionise models on cloud platforms (Azure, AWS, GCP) using MLOps and DevSecOps.
• Monitor model performance and user feedback to refine algorithms and improve outcomes.
• Embed responsible and explainable AI principles ensuring outputs are trusted and compliant.

Skills

Python

SQL

TensorFlow

Keras

PyTorch

MXNet

Git

Agile

DevSecOps

Cloud platforms

Tools

Azure

AWS

GCP

Job description

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.

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.

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 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 monitoring 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 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. We offer a range of benefits including 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.