Ai - Data Scientist, 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 fueled 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 a digital asset delivery pod at the heart of this. These pods are customer specific and you'll build technology solutions in collaboration with other technical specialists including Agile Delivery Managers, Product Managers, Developer/s, Tester/s, Technical Architects as well as subject matter experts from wider Tech Central teams.
The Role

• Lead in developing strategic data science engagements with key clients and lines of business to form & execute the next development of pipeline opportunities
  
• Lead and be accountable for the delivery of core data science assets (such as our SaaS platforms) in client facing settings
  
• Be a role model while managing junior staff on project and product teams
  
• Support PwC's growth accelerator pipelines
  

Skills and Experience

• Practical experience from industry and professional services in delivering significant and valuable advanced analytics projects and/or assets
  
• Engagement of technical and senior stakeholders
  
• Ability to manage and coach a team of Data Scientists
  
• 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. We expect you to be fluent with using these tools and practices on a daily basis.

• 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
  
• Big Data