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Senior Data Scientist – Manager
PwC. 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.
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformKerasPythonPyTorchSQLTensorflow
About the role
Key responsibilities & impact- 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 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
Requirements
What you’ll need- Demonstrable practical project experience (professional or academic) in using applied analytics to solve business problems
- 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
Benefits
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data sciencefeature engineeringmodel designmodel validationmodel deploymentmodel monitoringPythonSQLdeep learningMLOps
Soft Skills
data storytellingvisualization skillsintellectual curiosityanalytical rigorcommercial curiositycommunicationcoachingmentoringleadershipcollaboration