Data Scientist | LLM Engineer | Senior Associate/Manager at pwc

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

31 Aug, 26

Salary

0.0

Posted On

02 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Generative AI, Large Language Models, RAG Systems, Python, Azure Cloud, MLOps, Prompt Engineering, Vector Databases, Agentic Workflows, Fine-tuning LLMs, Microservices Architecture, Containerisation, CI/CD Pipelines, Data Pipelines, Model Evaluation, Critical Thinking

Industry

Professional Services

Description

Line of Service Advisory Industry/Sector Technology Specialism Advisory - Other Management Level Senior Associate Job Description & Summary The AI team is comprised of highly experienced designers, developers, data scientists and analysts who are responsible for delivering digital products and AI solutions to PwC’s business in Australia. At PwC Australia, you’ll be part of a human-led, tech-powered team delivering innovative AI and digital solutions that transform how businesses and communities operate. As a Data Scientist, you’ll play a vital role in designing and developing advanced AI products and algorithms, working with clients across different industries. Why PwC? At PwC Australia, your skills meet purpose. We tackle big challenges across industries like finance, technology, energy, and health—giving you the chance to make a real impact. Here, your growth is our priority. You’ll work with leading teams, explore new technologies, and unlock your full potential. Join a global community of more than 370,000 people who value bold ideas, collaboration, and lasting change. Together, we’re building trust and shaping the future. What you’ll do: Design, develop, and deploy production-grade GenAI solutions and LLM-powered applications for PwC's firmwide business across tax, legal, consulting, assurance, and financial advisory lines of service. Build and optimise RAG systems, agentic workflows, and multi-agent architectures to solve complex business problems at scale. Develop and fine-tune LLMs, implement advanced prompt engineering strategies, and create robust evaluation frameworks for model performance monitoring. Architect data pipelines to extract, cleanse, and normalise data from unstructured and semi-structured sources, integrating with vector databases and embedding models. Produce clean, maintainable, production-ready code deployed on Azure cloud infrastructure, following MLOps best practices and contributing to the full software development lifecycle. Mentor junior data scientists in GenAI technologies and actively participate in LLM and AI communities within the firm. What we’re looking for: Industrial experience deploying LLM solutions in production environments with demonstrated impact on business outcomes. Strong expertise in GenAI/LLM technologies including GPT-4, Claude, Llama, and other foundation models, with hands-on experience in model selection, fine-tuning, and adaptation. Proven experience building RAG systems with vector databases and implementing hybrid search strategies. Experience designing and deploying agentic systems and multi-agent frameworks for complex task orchestration. Strong Python development skills with modern LLM frameworks and deep understanding of prompt engineering techniques. Hands-on experience with LLM observability and evaluation tools. Deep understanding of microservices architecture, containerisation, and Azure cloud services (Azure OpenAI, Azure ML, Azure Functions). Experience with MLOps practices, CI/CD pipelines for ML systems, source code management (Git), and agile software development methodologies. Excellent critical thinking, problem-solving abilities, and communication skills with the ability to translate complex technical concepts for business stakeholders. Plus: Traditional ML/DL experience, knowledge of model quantisation and optimisation techniques, Typescript development skills, and familiarity with guardrails and AI safety frameworks. What you’ll gain: The opportunity to work with leading organisations and cutting-edge technology that challenge and expand your expertise. Flexibility means trusting you to choose when, where, and how you work—balancing what’s best for you, your team, and your clients to grow and thrive together. Clear paths for career progression supported by continuous learning and leadership development. Generous leave entitlements including four weeks’ annual leave and float public holidays to support your work-life balance. A world-class parental leave policy offering up to 26 weeks of leave for caregivers, supporting your family and personal life. We know that perks are as important as your financial rewards. Explore all the benefits that PwC has to offer here. Ready to grow here and go further? Join PwC Australia as a Data Scientist and make an impact that goes beyond the expected. Apply now and take your next step with a team shaping the future. We’re committed to treating all our job applicants fairly and with respect, irrespective of their actual or assumed background, disability, neurodivergence, or any other protected characteristic. We want you to have every opportunity to thrive in our selection process. In the application form, you can let us know what adjustments you require during our recruitment process and/or any workplace accommodations you anticipate needing to help you perform your role. No Agencies Please: We kindly request that recruitment agencies do not submit CVs in response to this advertisement. We are only accepting applications direct from individuals. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Up to 20% Available for Work Visa Sponsorship? Yes Government Clearance Required? No Job Posting End Date June 4, 2026 Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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Responsibilities

Design, develop, and deploy production-grade GenAI solutions and LLM-powered applications across various PwC business lines. Build RAG systems, agentic workflows, and data pipelines while mentoring junior data scientists in AI technologies.