Simulation graduate programme at SASOL (Grads: Computer Science, Data Science, Mathematics, Operations Research, Statistics)
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Simulation graduate programme at SASOL (Grads: Computer Science, Data Science, Mathematics, Operations Research, Statistics)

Youth Development Programme Candidate (Simulation)

Closing Date 15 April 2024

Req No 4176

OME EBU: Human Resources

Location Sandton


Company: Sasol

Sasol is a global integrated chemicals and energy company with a 70-year heritage. Through our talented people, we use our expertise and selected technologies to safely and sustainably source, manufacture and market chemical and energy products globally. When you join Team Sasol, you are joining a company that puts people at the center of everything we do.

Sasol invests in its employees along every stage of the career path and offers development opportunities to help you cultivate your career in a culture that embraces diversity and inclusion.



Purpose of Job

As an intern, you'll play a crucial role in identifying and analyzing valuable information from various data sources to support business decision-making. Training will be provided to develop your knowledge of the business and industry, specific business units, systems, and technical job-related skills. Plus, you'll enhance your professional interpersonal skills, including networking, communication, and time management.


Recruitment Description / Key Accountabilities


Problem Formulation and Solution Development:

• Collaborate with the business to formulate and develop solutions.


Analysis:

• Conduct analysis to determine trends or patterns leading to valuable business insights.


Data Preparation and Visualization:

• Prepare data for insights and visualization.

• Master the art of storytelling through data visualization.


Simulation:

• Learn and use simulation modelling to find an implementable solution for a business.


Advanced Analytics:

• Explore advanced analytics mainly for input and output analysis and insights using advanced analytical skills

Skills

Ability to problem-solve creatively.

Strong communication skills.

Proficiency in mathematical and statistical modeling.

Good understanding of statistics.

Wish list

Computer programming skills (e.g., R, C++, Python, VBA).

Experience with advanced analytics and visualization tools.

Familiarity with relevant visualization tools (e.g., QlikView, Tableau, PowerBI).

Process engineering understanding will be very useful

Formal Education

Honns/MSC Computer Science, Honns/MSc Data Science, Honns/MSc Mathematics, Honns/MSc Operations Research, Honns/MSc Statistics or Honns/MEng


Min Experience

Experience: 0 - 2+ relevant years


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