Job: Data Science Graduate

Company : Minopex; Johannesburg; On-site; ZAR 240,000 - 300,000; Full time

Benefits offered by this job

Professional development

Cutting-edge projects

Diverse work environment

Job summary

Minopex in Johannesburg invites applications for the Graduate In Training Data Sciences (PIT) program. You will work with large mining data sets, apply statistical analysis and machine learning to derive actionable insights and improve efficiency.

You'll collaborate with cross‑functional teams to develop predictive models, optimize production processes, and create data visualizations, reports and dashboards for decision‑making.

Qualifications

• Bachelor's degree in Data Science, Computer Science, or relevant Engineering fields.
• Skills in statistical analysis, machine learning, programming, and data visualization.
• Familiarity with mineral processing, problem-solving, and communication abilities.

Responsibilities

• Work with large mining data sets to provide actionable insights.
• Collaborate with teams to solve data science challenges and develop predictive models.
• Create data visualizations, reports, and dashboards for decision-making.

Skills

Statistical analysis

Machine learning

Programming

Data visualization

Communication

Education

Data Science degree

Computer Science degree

Engineering degree

Job description

Location: Johannesburg, Gauteng, South Africa

Date: 11-9-2024

Graduate In Training Data Sciences (PIT)

Data Science Graduate Development Programme

The role involves working with large mining data sets, using statistical analysis and machine learning to provide actionable insights and improve efficiency. The candidate will collaborate with teams to solve data science challenges, develop predictive models, and optimize production processes. They will also create data visualizations, reports, and dashboards for decision-making. Staying updated on advancements in data science and mineral processing is essential.

Qualifications include a Bachelor's degree in Data Science, Computer Science, or relevant Engineering fields, along with skills in statistical analysis, machine learning, programming, and data visualization. Familiarity with mineral processing, problem-solving skills, and communication abilities are required.

The company offers professional development, cutting-edge projects, and a diverse work environment.

Candidates must be South African citizens with English proficiency.