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- Youth Development Programme Candidate (Cyber Security)
- Learner: Administration (People living with Disability)
- Youth Development Programme Candidate
- Youth Development Programme Candidate (Simulation)
- Youth Development Programme Candidate (Machine Learning & Statistics)
- Financial Supply Analyst(Non Permanent Position)
Youth Development Programme Candidate (Cyber Security)
Closing Date
15 April 2024
Purpose of Job
Participation in a one-year Learnership at Sasol IM in either
• Cyber Security
• Data analyst
• Full stack developer
The learnership opportunity will grant you the opportunity to gain work experience.
Recruitment Description / Key Accountabilities
Actively seeking new ways to grow and be challenged using both formal and informal development channels.
Show respect when interacting with individuals and groups from diverse backgrounds, treating others with sensitivity toward differences.
Excellent verbal and written communication skills to transmit information with excellent attention to detail.
Being able to adapt to changing needs, conditions, priorities, or opportunities as required.
Make good, sound decisions considering the impact on safety and our people.
Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder.
Self-Mastery through taking accountability to drive own growth through developing self-awareness, reflecting, seeking feedback and self-correcting.
General Criteria
Must be currently unemployed.
Currently not participating in any other internship or learnership.
Must not be involved in any other full-time studies for the period of the learnership.
Applicant must have a strong passion and interest in either Cyber Security/ Data Analyst/ become a Full Stack developer.
Formal Education
Degree or Diploma in Software Engineer, Computer Science, Engineering, informatics, Information Systems or equivalent
Min Experience
Experience: 0 – 2+ relevant years
Learner: Administration (People living with Disability)
Closing Date
15 April 2024
OME
EBU: Human Resources
Purpose of Job
To participate in and complete the Learnership programme for designated field of expertise.
Recruitment Description / Key Accountabilities
The 12-month programme will offer a theoretical element aligned to a NQF Learnership programme and practical onsite work experience to improve the skills and workplace performance of entry-level learners. It provides foundational skills in literacy, numeracy, communication, computer and basic business principles.
It is suitable for Grade 12 qualified persons to develop essential professional skills. During the practical component Learners will provide administrative support to improve the effectiveness of managers and the departments in general as work readiness preparation.
The theoretical component will cover: Entrepreneurship, Business Operations, Customer Service, Business Accounting, Maths Literacy, Communication skills and Computer Skills.
Formal Education
High School / School Diploma or similar
Post Matric qualification would be advantage.
Min Experience
Experience: 0 – 2+ relevant years
Core Elements
Participate in Learnership programme and successfully complete assessment process; Participate inall required work-place readiness activities and exercises.
Youth Development Programme Candidate
Closing Date
15 April 2024
Purpose of the job
Join our Digital Business Solutions team as an intern, where you’ll be immersed in the world of data analytics and software development to drive digital transformation.
As an intern, you will work as a full member of our international team of Data Scientists and Full-stack Developers in Sasol Chemicals. The team delivers digital solutions based on advanced data analytics and application development in close collaboration with stakeholders across the entire value chain from Operations to Sales. We’re working across three hubs – USA, Germany, South Africa – with colleagues that bring very diverse educational backgrounds and experience. Mentorship and training are core pillars within our team and you can rely on these during your internship to grow both your technical skills and your understanding of the business. Within our team, we have reserved one day a week for joint learning and development and are also very active in various formats to share, exchange, and explore – Show&Tell sessions, hackathons, or community of practice events are just some examples.
Recruitment Description / Key Accountabilities
Work on a project as a member of the development team in an agile squad
• Analyse production and business data with advanced statistical methods and state-of-the-art Artificial Intelligence and machine learning techniques.
• Proactively gather information from various data sources, integrate, and prepare large datasets of varying structures and complexities.
• Develop sustainable software solutions (frontend and backend) following best practices.
Collaborate with the Product Owner and business stakeholders to implement and deploy scalable solutions.
Actively participate in scrum processes and meetings with the team Assist with communication, improve transparency, and radiate information.
Skills
Solid knowledge in programming, informatics, mathematics, statistics, and optimization
Programming skills in Python, Django, JavaScript, React, SQL
IT skills and initial experience with application development and deployment (Docker, Kubernetes, DevOps)
Min Experience
Experience: 0 – 2+ relevant years
Formal Education
BSc Computer Science, BSc Data Science, BSc Actuarial Science or equivalent
Youth Development Programme Candidate (Simulation)
Closing Date
15 April 2024
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
Youth Development Programme Candidate (Machine Learning & Statistics)
Closing Date
15 April 2024
Purpose of Job
As an intern, you’ll play a crucial role in identifying and analysing valuable information from vast amounts of data 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 Visualisation:
• Prepare data for insights and visualisation.
• Master the art of storytelling through data visualisation.
Advanced Modeling:
• Engage in advanced modeling, including statistical, mathematical, simulation, optimisation, forecasting, and decision & fault trees.
Advanced Analytics:
• Explore advanced analytics such as Machine Learning, Artificial Intelligence, Big Data Analytics, image analysis, and business process analysis
Skills
Ability to problem-solve creatively.
Strong communication skills.
Proficiency in mathematical and statistical modeling.
Wish list
Computer programming skills (e.g., R, C++, Python).
Experience with advanced analytics and visualisation tools.
Familiarity with relevant visualisation tools (e.g., QlikView, Tableau, PowerBI).
Formal Education
BSc Hons or higher in Computer Science, BSc Hons or higher in Data Science, BSc Hons or higher in Mathematics, BSc Hons or higher in Operations Research, BSc Hons or higher in Statistics, or BEng or higher (Chemical or Industrial)
Min Experience
Experience: 0 – 2+ relevant years
Financial Supply Analyst(Non Permanent Position)
Closing Date
18 April 2024
Purpose of Job
A temporary project position with a contract end date of no later than 30 June 2025
Drive a robust Performance management agenda through defined KPI’s in the Supply Review and below the line processes. Continue to drive simplification and standardisation in processes, inputs & outputs including collaboration with business and IM teams. Improve forecasting accuracy for Supply & Logistics. Deliver a robust Plan for Supply, and Logistics. Ensure accurate and reliable information. Ensure that appropriate MI is in place to deliver insights. This role will also be required to assist in the trading space which includes supporting the trading teams in the management accounting deliverables that the trading team require.
Oversee and execute the processes related to management reporting and governance of supply chain activities within the organisation unit. Lead and contribute to initiatives and projects aimed at improving supply chain performance within the organisation unit. Support the effective functioning of the Supply Chain function within the organisation unit, which includes spend analysis and SLC reporting.
Recruitment Description / Key Accountabilities
Measure and report on the Hub/OBU/SBU supply chain performance (financial and non-financial), and the impact thereof on annual budgeting- and forecasting.
• Tracking of financial and operating results against KPIs to be reported.
• Prepare variance analysis of current results against annual budget, prior year and forecasts.
• Generate detail monthly cost reports with variance explanations. Prepare and analyses financial information received for budgets and forecasts.
• Perform variance analysis of expenditure against budget, prior year and forecast.
• Prepare BU/value chain results for budget presentations and quarterly BU Exco forecast presentations
• Generate/Prepare monthly forecast for the BU /value chain – working with cost centre owners
• Prepare monthly cost reporting of the BU / value chain / area results.
• Provide detail information regarding price and volume variances
Provide intelligence and business insights for the formulation of supply chain decision-making and ensuring the sustainability of the inbound and outbound supply chains.
Development of methods to monitor internal SLCs and SLAs and work issue work instructions based on these.
Work with the Functional Supply chain to develop and implement initiatives which will optimise the Org Unit’s supply chain effectiveness.
Prepare detail cost information to enable the managing of the costs/budgets.
Prepare monthly analysis of cost centres to identify areas of concern to be addressed.
Ensure that Org Unit performance measures are aligned with Group-level DOVs, policies and procedures.
• Track and measure cost saving initiatives
• Support Mgr in providing input into OME reporting submissions
Formal Education
University Bachelor’s Degree in Accounting or related field
Min Experience
Experience: 6+ relevant years
All the best with your applications.
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