AI - Data Science Consultant, Senior Associate

As part of PwC's global strategy, The New Equation, 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 Tech Central, a technology focused function working alongside other PwC teams.

Tech Central 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.

About the team

Building technology assets is one of our top priorities in Tech Central, 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.

The Role:

• 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

Skills and Experience:

• 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

We make extensive use of the following technologies in our team.

• Python for Data Science
• SQL for data processing
• Git for version control
• Azure / GCP Cloud

Skills we'd like to hear about:

• Data Manipulation and Analysis
• Data Visualisation
• Machine Learning/Software Engineering
• Model Deployment
• LLM Validation
• Operations Research