A leading organisation in the mining and metals sector is currently recruiting for a skilled Data Scientist to join its Head Office team in Johannesburg. This is a rare opportunity for professionals who enjoy working with complex data, solving real-world business problems, and contributing to large-scale operational success.
The role is ideal for South African job seekers who have a strong background in data analysis, machine learning, and industrial processes. If you are passionate about turning raw data into meaningful insights that drive performance, this position offers both challenge and long-term growth.
This opportunity is worth serious consideration for anyone who wants to build a stable and rewarding career in data science while working in a hybrid environment that supports innovation, collaboration, and professional development.
About the Job Opportunity
The Data Scientist will be based at the company’s Head Office in Woodmead, Johannesburg, and will work in a hybrid setup that combines office and remote work. The role supports multiple operational sites across the EMEA region, meaning your work will have a direct impact on real production environments.
The employer operates in the mining and metals industry and focuses on operational excellence, efficiency, and innovation. The data science function works like a startup within a larger corporate structure, giving professionals the freedom to experiment, build solutions, and implement creative approaches.
The main purpose of the role is to analyse, process, model, and interpret data in order to create actionable plans for operational improvement. You will work closely with technical and business teams to ensure data is used effectively to support decision-making and long-term performance.
Job Details
- Job title: Data Scientist
- Company: Minopex (Minerals Operations Executive)
- Location: Woodmead, Johannesburg, Gauteng
- Employment type: Permanent
- Work schedule: Hybrid (office and remote)
- Closing date: 05 February 2026
Key Responsibilities and Duties
- Work closely with internal stakeholders to identify business challenges and opportunities where data can provide solutions.
- Collect, clean, and prepare large datasets from different operational systems and sources.
- Build statistical and machine learning models to generate predictions and recommendations.
- Interpret data trends and convert findings into practical business insights.
- Create reports, dashboards, and presentations for both technical and non-technical audiences.
- Collaborate with data engineers and analysts to develop reliable data pipelines.
- Support operational sites by understanding their processes and data collection methods.
- Evaluate and improve existing models to ensure accuracy and relevance.
- Stay informed about new data science tools and recommend improvements.
- Manage analytical projects from planning to completion.
- Conduct research and literature surveys to support innovation.
- Develop Power BI reports and link multiple data sources.
Minimum Requirements
- Bachelor’s Degree in Industrial Engineering, Chemical/Process Engineering, Computer Science, Electrical Engineering, Metallurgical Engineering, or a related field.
- Postgraduate qualification in Data Science or a similar discipline is advantageous.
- Minimum of three years’ experience working as a Data Scientist.
- Strong background in machine learning and statistical modelling.
- Proficiency in Python or R, and SQL.
- Experience deploying machine learning models into production environments.
- Understanding of databases and data warehousing concepts.
- Ability to pass medical examinations required for mining environments.
- Fluent in English, both written and spoken.
Skills and Personal Attributes
- Strong analytical and problem-solving ability.
- Excellent communication skills with both technical and non-technical teams.
- High level of attention to detail and accuracy.
- Ability to work independently and as part of a team.
- Good time management and organisational skills.
- Professional report writing and presentation ability.
- Adaptable and open to learning new technologies.
- Reliable, ethical, and results-driven.
Training, Growth, and Career Development
This role offers continuous professional development through exposure to advanced data science techniques, industrial applications, and cross-functional projects. You will gain experience working on real operational problems and contribute to business transformation.
As you grow within the organisation, there may be opportunities to move into senior data science, analytics leadership, or specialist technical roles. The environment supports learning, experimentation, and long-term career progression.
Salary and Benefits Information
The salary for this position is market-related and based on qualifications and experience. Employees may also receive benefits such as performance-based incentives, training support, and professional development opportunities.
Additional benefits may include hybrid working flexibility, exposure to international operations, and access to modern tools and technologies.
How to Apply
To apply, prepare an updated professional CV that clearly outlines your education, work experience, and technical skills. Make sure your contact details are accurate and easy to find.
Submit your application through the official recruitment platform before the closing date. Ensure that all required documents are attached and that your information is complete.
Shortlisted candidates will be contacted for further assessments or interviews. Late or incomplete applications may not be considered.
Important Application Notice
This job post is for informational purposes only. There are no fees required to apply for this position. Applicants should be cautious of scams and only submit applications through official company channels.
Why You Should Apply for This Job
This role offers a unique combination of technical challenge, career stability, and professional growth. You will work on meaningful projects that impact real-world operations in a respected industry.
For South African professionals looking to advance their careers in data science, this opportunity provides long-term value, competitive exposure, and the chance to be part of a forward-thinking team.
More Job Opportunities
Explore more vacancies, learnerships, and internship opportunities on this website. Stay informed about new job openings and take the next step toward building a successful career in South Africa.
✔ Apply Now