Data Scientist at fmgl

Perth, Western Australia, Australia -

Full Time

Start Date

Immediate

Expiry Date

05 Feb, 26

Salary

0.0

Posted On

07 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Machine Learning, AI Development, Statistical Analysis, Python, SQL, Natural Language Processing, Computer Vision, Predictive Analytics, Data Management, Cloud Infrastructure, Stakeholder Management, Communication Skills, Problem Solving, Software Engineering, Version Control

Industry

mining

Description

About Us Fortescue is both a proud West Australian company and a global green solutions business. We are recognised for our culture, innovation and industry-leading development of infrastructure, mining assets and green energy initiatives. Our Opportunity Work Location: Perth – Fortescue’s Perth office is located on the traditional lands of the Whadjuk Noongar people. Ad hoc domestic and/or international travel may be required. Roster: Monday to Friday Fortescue are presently looking for an experienced Data Scientist to join the Data & AI team. Effective team members in this area combine a vision for the future with a focus on value, curiosity, and creativity. They harness the power of data, data science, and AI to fuel innovation, unlock new opportunities, solve complex challenges, streamline processes, and enable strategic advancements that align with Fortescue’s Vision. The Science skill tree attracts, retains, and grows the careers of individuals who are passionate about creating and implementing advanced data-driven solutions. These team members are key to empowering decision-making and operational efficiency across Fortescue, ensuring all solutions inform and support the company’s broader objectives. Key Responsibilities Deliver data analysis and insights by extracting, interpreting, and visualising complex datasets to inform strategic decisions and communicate actionable outcomes to stakeholders Design, develop, and optimise AI and machine learning models, ensuring they are scalable, secure, ethical, and aligned with Fortescue’s business objectives Contribute to IT strategy and planning, aligning data science initiatives with corporate goals while assessing emerging technologies and their potential applications Identify and implement process improvement opportunities, leveraging data-driven insights to enhance operational efficiency and support smooth change management Develop and maintain high-quality software and analytical solutions, applying best practices in programming, testing, and solution architecture to ensure system reliability and performance Support data management and engineering activities, building and optimising data pipelines, ensuring data integrity, accessibility, and compliance with security standards Collaborate with stakeholders to gather and validate requirements, translating business needs into technical specifications for data science and AI projects Lead research and innovation efforts, exploring emerging tools, techniques, and methodologies to expand data science capabilities and organisational impact Document and share knowledge effectively, maintaining accessible repositories of methodologies, frameworks, and performance measures to drive continuous learning Mentor and support team members, fostering a culture of collaboration, innovation, and excellence in data science practice. Qualifications and Experience Bachelor's degree in Computer Science, Software Engineering, mathematics, statistics, machine learning, or a related field Experience (3+ years) in data science and AI solution system development in the mining, energy, green energy, or heavy industrial operations preferred Strong practical expertise in statistics and machine learning, including causal inference, experimental design, and applied analytical modelling Proficient in Python and SQL, with hands-on experience using leading ML frameworks such as TensorFlow and PyTorch for model development and deployment Comprehensive background in AI/ML disciplines, including natural language processing (traditional and LLM-based), computer vision, and predictive analytics Skilled in modern data science tools and practices, including version control with Git and adherence to software engineering best practices Experience working with data and ML platforms such as Snowflake, Amazon S3, Databricks, and SageMaker (highly regarded) Knowledge of cloud infrastructure including AWS and Azure environments, supporting scalable data processing and ML operations Demonstrated ability to manage and influence stakeholders, fostering collaboration across technical, operational, and business teams Excellent communication and storytelling skills, able to convey complex technical concepts clearly to both technical and non-technical audiences Analytical and problem-solving mindset, with a proactive approach to identifying insights, optimising models, and resolving challenges. Our Commitment Fortescue is deeply committed to providing a safe culture that builds respect, fosters inclusiveness, and values diversity. We celebrate individual strengths and team members from all backgrounds are encouraged to bring their whole selves to work. Our global workforce drives and promotes an inclusive culture, both within our organisation and throughout the communities we interact with across the world. Diverse backgrounds include First Nations Peoples, people with differing abilities, LGBTIQ+ community, gender, neurodiverse, cultural diversity, all age groups, and those with an intersectional or multiple diverse characteristics. We encourage candidates from all backgrounds to apply. https://fortescue.com/careers Internal Candidates / Current Contractors please apply via Success Factors Careers Portal. For further information on how to apply please visit the Fortescue Hub. Fortescue reserves the right to close applications early should a suitable pool of candidates be identified. Fortescue will never contact you to ask for payment of any kind, whether directly or through a third party.

Responsibilities

The Data Scientist will deliver data analysis and insights by extracting, interpreting, and visualising complex datasets to inform strategic decisions. They will design, develop, and optimise AI and machine learning models to align with Fortescue’s business objectives.