Duties and Responsibilities

• Work closely with stakeholders to identify business problems and opportunities for data-driven solutions.
• Collect, clean, and manipulate large datasets to extract insights and generate predictive models.
• Apply advanced statistical and machine learning techniques to build and deploy models that can make accurate predictions and recommendations.
• Communicate findings to technical and non-technical stakeholders through reports, visualizations, and presentations.
• Collaborate with other data scientists, engineers, and business analysts to develop scalable and efficient data pipelines and workflows.
• Working in collaboration with various sites is an essential part of the role, which involves gaining an understanding of the process context, data collection, and extraction methods.
• Continuously evaluate and improve models and algorithms to ensure their accuracy and effectiveness.
• Stay up-to-date with new data science and machine learning technologies and methodologies, and recommend new tools and approaches for solving business problems.
• Execution of analytical projects and investigations (initiation, planning, execution, monitoring and control and closure)
• Conducting literature surveys
• Management of client expectations through regular interactions
• PowerBi development and data linking

Qualification Requirements

• Bachelor’s Degree in Industrial Engineering, Chemical/Process Engineering, Computer Science, Electrical Engineering, Metallurgical Engineering or in a relevant field
• Post Graduate qualification in data science or related fields will be advantageous

Experience and Skills Requirements

• 3+ years data science experience.
• Deep understanding on the fundamental workings behind different machine learning algorithms.
• Strong programming skills in languages such as Python or R and SQL.
• Experience in applied machine learning in industrial contexts.
• Understanding of deploying a machine learning in a production environment
• Familiarity with database technologies and data warehousing concepts
• Experience in data analysis with data manipulation, cleaning, and wrangling techniques.
• Good communicator and interpersonal skills
• Proficiency in report writing and client presentations using MS Office Word, Excel, PowerPoint, MS Projects.
• Medically fit and be able pass medical examinations at mining sites.
• Fluent in English (Read, write, and speak)
• Experience in industrial mineral processing would be advantageous.