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 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 rewards contributions, supports wellbeing, and provides inclusive benefits, flexibility programmes, and mentorship.
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
Development of autonomous agents
LangChain framework expertise
Retrieval Augmented Generation (RAG) systems
Large Language Models (LLMs) APIs
Vector databases and embedding models
RAG pipeline implementation
Nice-to-have
Prompt engineering and LLM optimization
Agent orchestration and workflow tools
Natural Language Processing (NLP) techniques
Container technologies like Docker and Kubernetes
Semantic search and information retrieval
Agent alignment and safety considerations
Agile Methodology and Continuous Process Improvement
Key Requirements
3 - 4 years experience
Bachelor or Master of Engineering degree
Experience with API development
Knowledge of modern software development practices