Graduate Data Scientist | Artificial Intelligence Full-time

Line of Service
Assurance

Industry/Sector
Not Applicable

Specialism
Data, Analytics & AI

Management Level
Senior Associate

Job Description & Summary

• Flexible work options – work smarter in a way that suits your lifestyle.
• 26 weeks paid parental leave – for mum, dad & foster carers.
• Opportunities available in Sydney, Adelaide, Brisbane and Melbourne.

Looking for an exciting, diverse and challenging new role with a global impact? Join a modern technology team in Australia’s largest professional services firm that delivers cutting-edge digital products and AI solutions.

The Opportunity

At PwC, we help Australian businesses, not-for-profits create value and improve the way they work. From improving healthcare, to creating smarter cities and igniting Australia’s start up industry, you’ll build trust in society and solve important problems.

The AI team is a group of highly experienced designers, developers, data scientists and analysts who are responsible for delivering digital products and AI solutions to PwC’s business across multiple LoS in Australia.

We partner with subject matter experts across the business to advise on, design and develop technology-enabled solutions that help to transform the way we deliver assurance, advisory, tax and legal services to our clients.

The Role

Our Graduate Data Scientists are responsible for designing and developing new digital products and AI solutions for PwC’s firmwide business and our clients.

On a day-to-day basis you will be:

• Collaborating with cross-functional teams to design and build technical solutions.
• Engaging in testing new ideas and pairing with developers.
• Producing clean, maintainable and efficient code to be deployed at scale in Azure cloud.
• Contributing to team stand-ups and software development lifecycle activities.
• Participating in firmwide data science and machine learning forums and communities to share ideas and contribute to our body of knowledge.
• Learning from our Senior Data Scientists.

About you

Applicants must be able to demonstrate the following key capabilities and behaviours:

• Python development experience with modern ML/LLM frameworks.
• Experience with traditional ML/deep learning models, as well as LLM frameworks.
• Strong willingness to learn on the job from the rest of the team and capability to learn on one’s own initiative.
• Experience with SQL databases such as PostgreSQL (or equivalents), preferable experiences in Vector DBs.
• Capability to identify emerging theory and apply it to practical situations.
• Strong critical thinking skills, an analytical mindset and outstanding attention to detail.
• Ability to work efficiently with remote teams using collaboration technology.
• Ability to identify issues and solve complex problems as part of a team.
• Good written and verbal communication skills.
• A proactive approach to resolving problems.
• Knowledge of proper source code management and the use of Git repositories.

Ideally, you will also have:

• Prior experience with microservices architectures and containerisation, including good knowledge of Docker.
• Prompt engineering skills.
• Knowledge of agile software development lifecycles (SDLC) and experience working on agile projects.
• Prior experience with any message-queueing solutions (e.g. RabbitMQ, Kafka).
• Prior experience with data pipelines at scale and building on top of them.
• Prior experience with observability standards and frameworks such as OpenTelemetry.
• Prior experience with developing on cloud environments such as Azure.
• Typescript development experience with ReactJS and NodeJS.

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

Desired Languages (If blank, desired languages not specified)

Travel Requirements
Not Specified

Available for Work Visa Sponsorship?
Yes

Government Clearance Required?
No

Job Posting End Date