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Digital Audit
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Digital Audit Manager- FS
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Senior Manager Digital Audit
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Graduate, Audit, Digital Audit, London 2022
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Digital Audit Senior Associate
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Digital Audit Tech FS Senior Associate
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Digital Audit Tech FS Senior Associate
1 week ago
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Senior Manager Digital Audit - London, United Kingdom - Pwc UK
Description
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.
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.
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.
You will work alongside Tech Central, where building technology assets is one of their top priorities.You will 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.
At the GenAI Pod, we're pushing the boundaries of what's possible.As a Senior manager you will:
Lead the Generative AI Pod team and define the portfolio of projects
Lead as a technical SME the design and the implementation of various projects
Lead in developing strategic data science engagements with key clients in audit to form and execute the next development of pipeline opportunities
Lead and be accountable for the delivery of the GenAI Pod objectives working alongside our external and internal partners
Engineer scalable natural language models empowering auditors to efficiently analyse extensive document sets
Develop a vision for scalable solution from PoCs and MVPs
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
Be a role model while managing a team of data scientists and engineers on project and product teams
Support PwC's growth opportunities
Preferred qualifications:
Masters or PhD in a data science-related discipline
Skills and Experience
A passionate and experienced data scientist, with a good technical understanding of Generative AI and LLMs
Understanding of requirements for software engineering and data governance in data science
Extensive experience with modern data platform architecture, experience in Deep Learning (PyTorch/TensorFlow)
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
Ability to manage and coach a team of data scientists
Engagement with and management of technical and senior stakeholders
Strong knowledge of Mathematical Statistics, Algorithms & Data Structures, ML Theory
Strong knowledge of Python & SQL
Azure / GCP for cloud backend
Skills that will be beneficial but is not a prerequisite:
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)