At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients
Job Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.
Those in intelligent automation at PwC will focus on conducting process mining, designing next generation automation solutions, and implementing intelligent process automation to help clients achieve operational efficiencies and reduce costs.
PwC offers a purpose-led and values-driven work environment powered by technology that supports wellbeing, inclusive benefits, flexibility programmes, and mentorship to help employees thrive.
Matching Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.
Skills & Requirements
Must-have
Advanced Python programming with async
Building and deploying autonomous agents
LangChain framework development
Retrieval Augmented Generation (RAG) systems
Large Language Models (LLMs) and APIs
Vector databases and embedding models
RAG pipeline implementation
Nice-to-have
Prompt engineering and LLM optimization
Agent orchestration and workflow management tools
Natural Language Processing (NLP) techniques
Container technologies like Docker and Kubernetes
Semantic search and information retrieval concepts
Agent alignment and safety considerations
Agile methodology and active listening
Key Requirements
3 - 4 years experience
Bachelor or Master of Engineering degree
Expertise in async programming and API development
Experience with multiple LLM providers
Knowledge of modern software development practices