Digital Audit - Senior Associate - Gen AI Pod, London
Client: PwC
Location: London, United Kingdom
Job Category: Other
EU work permit required: Yes
Job Reference: 150fe8dcf735
Job Views: 91
Posted: 22.01.2025
Expiry Date: 08.03.2025
Job Description:
The Role
At the GenAI Pod, we’re pushing the boundaries of what’s possible. As a Senior Associate in our GenAI Lab start-up, you will:
1. Pioneer the design, development, and deployment of production machine learning pipelines
2. Shape machine learning-enabled Audit applications
3. Deliver high-quality code contributions to our evolving codebase
4. Monitor and review live production models
5. Lead and guide workstreams on projects within your specialisation
6. Mentor and manage junior engineers on impactful workstreams
Skills and Experience
1. A passionate data scientist, who has invested time in understanding Generative AI and experienced the power of LLM
2. Practical experience from industry and professional services in delivering significant and valuable advanced analytics projects and/or assets
3. Engagement of technical and senior stakeholders
4. Ability to manage and coach a team of data scientists
5. Delivery of projects on time and in budget for high profile clients
6. 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:
1. Bachelor's degree (or more) in computer science / Data Science or a related technical discipline
2. Experience in Natural Language Processing
3. Extensive experience with modern Deep Learning (PyTorch/TensorFlow)
4. Experience with any of the following NLP tasks - named entity recognition, intelligent document processing, website parsing & classification, sentiment analysis, information retrieval, entity matching & linking, spelling correction
5. Strong knowledge of Mathematical Statistics, Algorithms & Data Structures, ML Theory
6. Strong knowledge of Python & SQL
7. Git for version control
8. Azure / GCP for our cloud backend
Skills we’d like to hear about
1. Experience working with large data pipelines (using technologies such as Beam or Kafka)
2. Experience in LLMs using OpenAI, Gemini or open source models
3. Exposure to other programming languages (such as Java)
4. Experience of working on a project using agile concepts (such as working in sprints)
5. Familiarity with working in an MLOps environment.
6. Experience working with search engines (such as Elasticsearch)
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