Internships

Minopex Is Recruiting: Data Science Graduate – Johannesburg, South Africa

CLOSING DATE: 08 JUNE 2023

Introduction

This position will be based at the Head Office in Woodmead.

Description

Are you a recent Data Science Graduate ready to revolutionize the mineral processing industry with your analytical skills? Do you have a passion for extracting valuable insights from complex data sets and driving data-informed decision-making? If so, we have an exciting opportunity for you to unleash your analytical superpowers and make a real impact in the world of mineral processing!

At Minopex, we are leading the way in innovation and leveraging advanced Data Science techniques to optimize mineral processing operations and drive sustainable practices. As a progressive and dynamic mineral processing company, we are seeking an exceptional Data Science Graduate to join our team and help us harness the power of data to unlock the full potential of our operations.

Duties & Responsibilities:
Dive deep into extensive mining data sets, applying statistical analysis and machine learning techniques to uncover actionable insights and improve operational efficiency.
Collaborate with cross-functional teams to identify data science challenges and develop innovative solutions.
Develop and implement predictive models and algorithms to optimize mineral processing and production processes.
Utilize your expertise in data visualization to create compelling reports and dashboards, enabling stakeholders to make informed decisions.
Stay up-to-date with advancements in data science and mineral processing technology, and contribute innovative ideas to enhance mineral processing practices.

Qualification Requirements:
Bachelor’s degree in Data Science, Computer Science, Chemical / Metallurgical / Mechanical / Electrical / Industrial Engineering, or a related field.

Experience & Skills Requirements:
Up to one year’s work experience will be advantageous.
Strong understanding of statistical analysis, machine learning algorithms, and predictive modeling techniques.
Experience in programming languages such as Python, R, or SQL will be advantageous.
Experience with data visualization tools, such as Tableau, Power BI, or D3.js will be advantageous.
Familiarity with mineral processing concepts, processes, and data sets.
Excellent problem-solving skills and the ability to think critically in a mineral processing context.
Strong communication and presentation skills to effectively convey complex findings to diverse stakeholders.
Enthusiasm for continuous learning and a genuine passion for leveraging data science in the mineral processing industry.
English language proficiency.
Must be a South African Citizen.

What we offer:
A stimulating and inclusive work environment that encourages innovation and collaboration.
Exciting opportunities to work on cutting-edge mineral processing projects and contribute to sustainable mineral processing practices.
Ongoing professional development and training programs to enhance your data science skills and deepen your understanding of the mineral processing industry.
The chance to work alongside a diverse team of mining professionals, data scientists, and industry experts who share your passion for driving positive change in the mineral processing sector.

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