Senior Associate | Data Scientist | LLM Engineer
Apply for the Senior Associate | Data Scientist | LLM Engineer role at PwC Australia.
About The Role
PwC's Data Scientists design and develop new digital products and AI solutions for our firmwide business and clients.
Main Responsibilities:
1. Collaborate with cross-functional teams to specify technical solutions.
2. Develop algorithms for extracting information from unstructured data sources, cleansing and normalising large datasets.
3. Scaffold new projects, test ideas, pair with developers, and review code.
4. Produce clean, maintainable code for deployment in Azure cloud.
5. Participate in team stand-ups and software development lifecycle activities.
6. Share knowledge and contribute to firmwide data science and machine learning forums.
7. C coach and mentor junior data scientists.
Key Requirements:
* Strong Python experience with modern LLM/ML frameworks.
* Deep knowledge of prompt engineering, LLM workflows, and agentic workflows.
* Experience with VectorDB, including Azure AI Search and pgVector.
* Knowledge of ML models such as regression, boosting models, and deep learning in CV and NLP domains.
* Experience with RAG pipelines, evaluation, and optimisation.
* Proficiency with SQL databases like PostgreSQL and Vector DBs.
* Ability to apply algorithms at scale and derive conclusions using scientific methods.
* Research background in ML/LLM model development.
* Experience with microservices, containerisation, and cloud environments.
* Strong prompt engineering skills.
* Knowledge of agile SDLC and experience working in agile projects.
Preferred skills include message-queueing solutions, data pipelines, observability standards, Typescript with ReactJS, and NodeJS.
About PwC
We are a human-led, tech-powered community of solvers focused on innovation, diversity, and inclusion, driving positive impact in Australian businesses and communities.