AI - Data Scientist, Senior Associate

Our purpose focuses on how we contribute to society, and how our business decisions can contribute to greater trust and solving important problems. In order to achieve our purpose and deliver a first-class service to our clients, we need first-class support internally. The people who power us - our internal teams - have a vital role to make sure we have all the right resources, services and technology to be the best we can be. Not all of us work directly with external clients.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 teamBuilding 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 RoleLead in developing strategic data science engagements with key clients and lines of business to form & execute the next development of pipeline opportunitiesLead and be accountable for the delivery of core data science assets (such as our SaaS platforms) in client facing settingsBe a role model while managing junior staff on project and product teamsSupport PwC’s growth accelerator pipelinesSkills and ExperiencePractical experience from industry and professional services in delivering significant and valuable advanced analytics projects and/or assetsEngagement of technical and senior stakeholdersAbility to manage and coach a team of data scientistsDelivery of projects on time and in budget for high profile clientsUnderstanding of requirements for software engineering and data governance in data scienceWe 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 scienceSQL for data processingGit for version controlAzure / GCP CloudSkills we’d like to hear aboutData Manipulation and AnalysisData VisualisationMachine Learning/Software EngineeringModel DeploymentBig Data
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