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
Formal Education
BSc Computer Science, BSc Data Science, BSc Actuarial Science or equivalent