the role
As part of PwC’s strategy, we’re investing significantly in skills, capabilities and technologies to address the breadth and complexity of the challenges that our clients face with their businesses and in society. One of our responses to this was establishing a digital delivery unit, a technology focused function working alongside other PwC teams.
The digital delivery unit is rapidly growing and the environment that our people work in is fuelled by ingenuity, collaboration and innovation. Our people are skilled and passionate about the work they do. As part of the team you’ll experience an environment consisting of a wide range of technologies with ample room for you to learn, grow and innovate.
What your days will look like:
Building technology assets is one of our top priorities in the digital delivery unit, and you will be part of our AI and Emerging Technology team. The team is customer focused and you’ll solve data science problems in collaboration with other technical specialists in the team and our lines of service.
Contribute to data science engagements with key clients and lines of business
Contribute to the delivery of core data science assets (such as our SaaS platforms) for ourselves and our clients
Collaborate with non-technical stakeholders to define project objectives, scope, and deliverables, in order to translate our data science capabilities into tangible value
Craft and manage project documentation, data analyses, presentations, and timelines, ensuring clear communication and understanding of findings and their commercial implications
This role is for you if:
Understanding of the following technologies extensively used within the team: Python for data science, SQL for data processing, Git for version control and Azure / GCP Cloud
Delivering significant and valuable advanced analytics projects and/or assets in industry and professional services
Engagement of technical and senior stakeholders, including visualisation of results and presenting to senior stakeholders
Experience with experiment design and measurement
Delivery of projects on time and in budget for high profile clients
Understanding of requirements for software engineering and data governance in data science
Skills we’d also like to hear about:
Data Manipulation and Analysis
Data Visualisation
Machine Learning/Software Engineering
Model Deployment
LLM Validation
What you'll receive from us:
No matter where you may be in your career or personal life, our 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.
