Data Scientist-Manager at pwc

Glasgow, Scotland, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

21 Feb, 26

Salary

0.0

Posted On

23 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Artificial Intelligence, Deep Learning, Python, SQL, MLOps, DevSecOps, Cloud Computing, Agile, Data Storytelling, Data Visualization, Data Engineering, Data Mining, Data Modeling, Data Quality, Analytical Thinking

Industry

Professional Services

Description

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’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: 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 Skills and Experience: Demonstrable practical project experience (professional or academic) in using applied analytics to solve business problems, including: 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 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 Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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Responsibilities

You will work as part of a cross-functional product squad to launch and scale AI client solutions. This includes designing the data science approach for products and collaborating with engineers to productionize models on cloud platforms.