Specialist Data Science

**Date**:8 Aug 2025

**Location**: Perth, WA, AU, 6000

**Company**:South32 Group Operations Pty. Ltd.

**DISCOVER A BRIGHTER FUTURE**

At South32, we’re meeting the challenge of enabling a sustainable future through our focus on responsibly producing commodities critical for a low-carbon world.

As a collaborative, caring and inclusive company, there’s no better place to make a genuine difference. Together we’re making a positive, global impact that has the potential to change lives.

Whatever career path you choose, we’ll support you every step of the way to learn, grow and succeed. So join us, step towards a brighter future and leave your legacy.

**ABOUT** **PERTH OFFICE**

South32's Perth office is based in the heart of the CBD and is a modern, for-purpose workplace designed to foster collaboration, innovation and performance. The office houses key functions including Human Resources, Finance, Investor Relations, Corporate Development, Commercial, Technical, Legal and External Affairs. Our office is conveniently located a short five-minute walk from the Perth Underground and Elizabeth Quay Train Stations.

**WHAT SOUTH32 OFFERS**
- Annual short-term incentive bonus that recognises both your individual performance and the overall success of the business
- Superannuation Contributions at 14%
- Flexible work options include working from home, flexible hours & job sharing
- 26 weeks full-paid or 52 weeks of half-paid parental leave for primary carers

**ABOUT THE ROLE**

The **Specialist, Data Science**will assist with building practical AI solutions that make a real difference in mining operations. In this role, you'll work on developing and implementing machine learning and generative AI tools that improve safety outcomes, boost operational efficiency, and drive better financial results across our sites.

You'll be part of a team focused on turning data into actionable insights, creating solutions for our operations teams, and ensuring these technologies deliver measurable improvements where they matter most.

Reporting to the Lead Data Science, other key responsibilities include, but aren’t limited to:

- Work on data science projects from concept to deployment, collaborating closely with business teams to ensure what you build meets their needs and can be scaled across operations
- Guide and support colleagues in data science approaches and methods, helping teams across the organisation make better decisions using data
- Help grow our data science capabilities by sharing insights, establishing good practices, and working with different teams to show how data can drive better outcomes

**ABOUT YOU**

You will have experience and demonstrate capability in the following:

- Solid data science foundation with hands-on experience in machine learning, computer vision, and generative AI - you know how to work with data and build models that work
- Technical skills in Python and SQL - these are your main tools for getting things done, and you're comfortable using them daily
- Experience deploying models in production environments using Docker and other deployment tools - you've taken models from development to real-world use
- Ability to create clear, useful visualisations with Power BI or similar platforms that help people understand what the data is telling them
- Familiarity with modern development practices, including Git version control, MLOps workflows, and pipeline tools like MLFlow or Databricks
- Effective communication skills - you can explain technical concepts to different audiences and work effectively with both technical teams and business stakeholders

Qualifications for this position are:

- Relevant tertiary qualification such as a Bachelor’s or Master’s degree in STEM (Mathematics / Statistics / Computer Science preferred)

This job advert will close on 22 August 2025