Are you passionate about using data to drive innovation in the mining sector? The Principal Mining Data Scientist role at BHP Group in Perth, Australia, is a great opportunity to lead advanced analytics and predictive maintenance projects in a world-leading mining company.
BHP Group is one of the global leaders in the resources industry, focused on sustainability, safety, and innovation. The company actively invests in data science and technology to improve productivity, efficiency, and operational performance.
This role is ideal for professionals who want to work with cutting-edge data solutions and contribute to large-scale mining transformation.
About the Principal Mining Data Scientist Role
The Principal Mining Data Scientist position focuses on designing and deploying predictive maintenance models to optimize asset reliability across BHP’s mining operations. You will collaborate with cross-functional teams, including data engineers, reliability experts, and operations managers, to build data-driven solutions that prevent equipment failures and reduce downtime.
Your responsibilities will include:
- Leading the development of predictive maintenance algorithms using machine learning and AI techniques.
- Managing large datasets from sensors, IoT devices, and maintenance records to identify early signs of equipment degradation.
- Providing strategic insights to improve mining asset performance and operational safety.
- Guiding junior data scientists and ensuring adherence to data governance and quality standards.
- Collaborating with stakeholders to translate complex data insights into actionable business outcomes.
This role is designed for individuals who thrive on solving complex problems and transforming raw data into measurable business impact.
Salary and Benefits
BHP Group offers an attractive compensation package for the Principal Mining Data Scientist role, reflecting the seniority and expertise required.
- Annual Salary: AUD 180,000 – AUD 230,000 (depending on experience)
- Performance Bonuses: Annual performance-based incentives
- Work Schedule: Flexible hybrid options (Perth-based)
Benefits Include:
- Comprehensive health and dental insurance
- Paid parental leave and wellness programs
- Superannuation contributions
- Employee share ownership plan
- Career development and professional learning opportunities
- On-site fitness and recreational facilities
This role not only provides competitive pay but also offers long-term career advancement within BHP’s global network.
Why Choose BHP Group?
BHP Group is more than just a mining company—it’s a global leader in innovation and digital transformation. As a Principal Mining Data Scientist, you will be at the forefront of data-driven decision-making, shaping the future of mining through AI and machine learning applications.
BHP values diversity, inclusivity, and innovation, encouraging all employees to bring unique perspectives and ideas. You’ll work in a supportive, collaborative environment where your expertise will make a tangible difference to global operations.
How to Apply
If you are ready to take your data science career to the next level, visit the official BHP Group Careers page to apply:
👉 Apply via official career page: https://careers.bhp.com
You will need to submit:
- A detailed resume outlining your technical and professional experience
- A cover letter explaining your interest and suitability for the role
- Proof of qualifications and relevant certifications (if applicable)
- Early applications are encouraged, as the position may close once a suitable candidate is found.
Conclusion
The Principal Mining Data Scientist for Predictive Maintenance at BHP Group in Perth, Australia, is a remarkable opportunity to combine data science expertise with real-world engineering challenges. This role empowers you to create predictive systems that enhance efficiency, reliability, and sustainability across mining operations.
If you’re looking for a position that values innovation, rewards leadership, and offers global career growth, BHP Group is the ideal place to advance your journey in data science.
FAQ
What qualifications are required for the Principal Mining Data Scientist role?
Typically, a master’s or PhD in data science, computer science, or engineering, along with 8+ years of experience in predictive analytics and machine learning within industrial settings.
Is relocation assistance available?
Yes, BHP provides relocation support for international candidates relocating to Perth.
Does BHP offer remote or hybrid work options?
Yes, hybrid work arrangements are available for this position, depending on operational requirements.
How long is the recruitment process?
The process generally takes 4–6 weeks from application to offer.
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