About Our Client This opportunity is with a publicly listed organisation in the Energy Natural Resources sector.
The company is known for its innovative approach and commitment to leveraging technology to optimise processes and deliver sustainable solutions.
Job Description Apply advanced statistical and machine learning techniques to analyse large datasets, detect patterns and anomalies, and build predictive models that optimise mining operations and equipment performance Translate complex, multi-source data into clear trends, insights, and recommendations that drive informed, data-backed business decisions Design and develop data models, algorithms, and analytics solutions to address operational and strategic business challenges Collaborate with ML Engineering, Data Engineering, Data Platform teams, and mining experts to deliver scalable data solutions and enhance asset efficiency Communicate insights effectively to both technical and non-technical stakeholders, ensuring alignment and adoption of data-driven actions Contribute to continuous improvement by adopting industry best practices in AI, machine learning, and analytics, and supporting a culture of innovation The Successful Applicant A successful Data Scientist should have: A strong background in Data Science Proficiency in data analysis tools and software such as SQL, Python, or R. Experience in creating data visualisations and dashboards.
(Power BI, Data Factory)
Excellent problem-solving skills and attention to detail Ability to work collaboratively within a team environment and be autonomous where needed Strong communication skills to present insights effectively