Digital Audit -Manager- Data Scientist - Gen Ai

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. Technology is now at the heart of how our clients deliver their services.

The complexity of systems, increasing use of data and the continuous investment in technologies by our clients, creates new challenges, but equally, opportunities, as to how we assess our client risks and build trust in society.

As an audit practice, we invested significantly in innovative technology to understand how our client's processes, technologies and systems operate to provide a fair view on how they address their risks.

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.

Embark on an exciting journey with PwC's Digital Audit Business Unit as we launch the Generative AI Pod, a dynamic and innovative space dedicated to reshaping the future of audits through ground-breaking AI and Machine Learning technologies. Our startup-minded team aims to revolutionise auditing, collaborating closely with Audit Subject Matter Experts (SMEs) to drive innovation and advancements in how responsible AI can shape the future of Audit.

The Role

At the GenAI Pod, we're pushing the boundaries of what's possible. You are passionate about Data engineering and developing large scale platforms and coupled this with a keen interest in data science and work alongside Data Scientists to develop scalable solutions, move products from Proof of concepts to Minimal Viable products. As a manager in our GenAI Pod, you will:

• Lead in developing strategic data science engagements with key clients in audit to form & execute the next development of pipeline opportunities
• Lead and be accountable for the delivery of core data science assets (such as SaaS platforms) in client facing settings
• Engineer scalable natural language models empowering Auditors to efficiently analyse extensive document sets.
• Automate audit processes through the application of AI, enhancing the identification of key risk indicators, patterns, and anomalies, ultimately elevating the precision and effectiveness of audit assessments.
• Scale out natural language processing models to identify and make predictions over vast datasets.
• Be a role model while managing a team of Data Scientist and engineers on project and product teams
• Support PwC's growth opportunities

Skills and Experience

• A passionate Data Scientist/Engineer, who has invested time in understanding Generative AI and experienced the power of LLM.
• Practical experience from industry and professional services in delivering large scale data platforms and valuable advanced analytics blending large scale analytics and leveraging AI models
• 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.

• Bachelor's degree (or more) in computer science / Data Science or a related technical discipline
• 5+ years of experience in Data engineering role with a level of experience on deploying ML solutions and leading Data science/Engineering teams.
• The ability to come up with creative solutions to complex problems.
• Extensive experience with modern Data platform architecture, experience in Deep Learning (PyTorch/TensorFlow)
• Strong knowledge of Mathematical Statistics, Algorithms & Data Structures, ML Theory
• Strong knowledge of Python & SQL
• Strong debugging skills
• Git for version control.
• Azure / GCP for our cloud backend.

Skills we'd like to hear about

• Experience working with large data pipelines (using technologies such as Beam or Kafka)
• Experience in LLMs using OpenAI, Gemini or open source models
• Exposure to other programming languages (such as Java)
• Experience of working on a project using agile concepts (such as working in sprints)
• Familiarity with working in an MLOps environment.
• Experience working with search engines (such as Elasticsearch)