HR Data Science & AI at Rio Tinto

Perth, Western Australia, Australia -

Full Time

Start Date

Immediate

Expiry Date

31 Aug, 26

Salary

0.0

Posted On

02 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, R, Machine Learning, Generative AI, AI Governance, Data Modelling, Data Engineering, LLMs, Statistical Analysis, AI Assurance, Product Mindset, Stakeholder Management, Cloud Computing, Git, Agile Delivery

Industry

mining

Description

We’re committed to Finding Better Ways™ and that starts with creating a safe, inclusive, and empowering environment for everyone. Be part of a group that is safety focused and values inclusion Permanent role developing a new area of AI Assurance We’re Finding Better Ways™ to provide materials the world needs, now and in the future. Our values – care, courage and curiosity – guide how we work and how we treat each other. About the role: We are seeking a skilled Data Scientist with a with a love of data and ethical product delivery, as well as curiosity about what makes people tick, to join the global People Data and Insights team. This is an excellent opportunity for someone from a Data Science background to develop in the new area of AI Assurance while still being involved in traditional data science projects. We are also open to candidates from a non Data Science backgrounds with strong statistical skills and understanding or passion for AI Governance. Data is one of our most important assets. From mine to market, behind each of our operations and projects are technological innovations and data science that are driving new industry standards in mining and metals. With a clear focus on values, performance and strong leadership, you get to grow with an organisation that values your work and rewards you accordingly. Reporting to the Manager Data Science & AI, you will have the opportunity to: Select robust modelling and statistical approaches and experimentation strategies, strengthening practices in reproducibility, assurance, and observability to build trust in insights and product quality. Use statistical and machine learning methods to identify key data features and engineer data pipelines from source systems to predictive models. Contribute to the full lifecycle of data science products, from vision and discovery to delivery, adoption, and continuous improvement, ensuring solutions are user-centred and outcome-driven following a Product Mindset. Communicate effectively with technical and non-technical stakeholders, driving alignment and informed decision-making. Support the development, implementation, education and ongoing assurance of AI governance frameworks, policies, procedures and guidelines. Embed safety, ethics, cyber security, and intellectual property considerations into the design, development, and deployment of ML/AI solutions. Assess AI Deployments for risk across AI Assurance areas and implement and advise on controls. About you A strong commitment to the safety of yourself and your team Tertiary qualifications in Mathematics, Statistics, Computer Science or other strong analytical fields, supported by a strong technical background and coding skills in Python, SQL and/or R. Solid understanding of statistical concepts, machine learning and GenAI with expertise in navigating the process from problem definition to solution delivery. Strong analytical and problem-solving skills, with attention to detail. Curiosity and eagerness to learn new concepts and technologies. Strong knowledge of LLMs. AI/ML systems, agent frameworks and AI Governance including observability, monitoring and evaluation Data modelling and engineering experience, building and deploying models into production Strong communication and relationship management skills, with the ability to work across multiple functions and translate between technical and non technical staff. Sound judgement and an ethical approach to responsible AI use including balancing innovation and risk. It will also be beneficial if you have: Understanding of Human Resources or Social Sciences Experience with cloud computing platforms and remote compute environments such as AWS and Azure (e.g. SageMaker, Databricks, AzureML). Experience with Git code management (e.g. GitHub, Azure DevOps, Bitbucket, etc.) and agile delivery What we offer Be recognised for your contribution, your thinking and your hard work, and go home knowing you’ve helped the world progress. A work environment where safety is always the number one priority A permanent position working directly for Rio Tinto A competitive base salary reflective of your skills and experience with annual incentive program Comprehensive medical benefits including subsidised private health insurance for employees and immediate family Attractive share ownership plan Company provided insurance cover Extensive salary sacrifice & salary packaging options Career development & education assistance to further your technical or leadership ambitions Ongoing access to family-friendly health and medical wellbeing support Leave for all of life’s reasons (vacation/annual, paid parental, sick leave) Exclusive employee discounts (banking, accommodation, cars, retail and more) Possible domestic relocation assistance Where you’ll be working The HR function supports 46 000 employees in around 36 countries and operates out of three business hubs in Brisbane, Perth and Montreal. Data science roles have diverse, multi-industry backgrounds and comprehensive skills in the fields of data modelling, engineering, and visualisation as well as advanced analytics techniques including machine learning and optimisation. These skills are used to turn data into information that can be used to make improved decisions that generate a competitive advantage for Rio Tinto. This role can be based in Brisbane or Perth (Australia) Applications close Friday 10th of June 2026. #gts About Rio Tinto Rio Tinto is a leading global mining and materials company. We operate in 35 countries where we produce iron ore, copper, aluminium, critical minerals, and other materials needed for the global energy transition and for people, communities, and nations to thrive. We have been mining for 150 years and operate with knowledge built up across generations and continents. Our purpose is finding better ways to provide the materials the world needs – striving for innovation and continuous improvement to produce materials with low emissions and to the right environmental, social and governance standards. But we can’t do it on our own, so we’re focused on creating partnerships to solve problems, create win-win situations and meet opportunities. Respect and Inclusion At Rio Tinto, we particularly welcome and encourage applications from Aboriginal and Torres Strait Islander people, women, the LGBTI+ community, mature workers, people with disabilities and people from different cultural backgrounds. We are committed to an inclusive environment where people feel comfortable to be themselves. We want our people to feel that all voices are heard, all cultures respected and that a variety of perspectives are not only welcome – they are essential to our success. We treat each other fairly and with dignity regardless of race, gender, nationality, ethnic origin, religion, age, sexual orientation or anything else that makes us different. A drive for innovation and continuous improvement is at the heart of our company's purpose: Finding better ways to provide the materials the world needs. Here, you’ll find a home for curious people who care about their work and colleagues, are courageous about finding better ways to do things, and are empowered to adapt quickly to solve problems and meet opportunities. We are committed to an inclusive environment where people feel comfortable to be themselves. We want our people to feel that all voices are heard, all cultures respected and that a variety of perspectives are not only welcome – they are essential to our success. We treat each other fairly and with dignity regardless of race, gender, nationality, ethnic origin, religion, age, sexual orientation or anything else that makes us different.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Develop and implement AI assurance and governance frameworks to ensure ethical and robust AI product delivery. Use statistical and machine learning methods to build data pipelines and predictive models while collaborating with stakeholders to drive informed decision-making.