Specialist: IT Development, Data Analysis, & Digitalization.

About the Team.

The team drives data-driven solutions to improve quality, efficiency, and decision-making across production processes. You will join the Quality Management team, focusing on digitalization and automation within manufacturing.

What awaits you?

• Develop and deploy AI and machine learning solutions to support manufacturing and quality processes.
• Build data pipelines, dashboards, and digital tools to enable data-driven decision-making.
• Identify and implement automation opportunities to improve efficiency and quality outcomes.
• Integrate digital solutions into existing systems and support smart factory initiatives.
• Collaborate with cross-functional teams to translate business needs into technical solutions.

What should you bring along?

• Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related field.
• Strong self steering skills & mindset.
• 3 to 7 years’ experience in AI/ML development or applied data analytics.
• Strong programming skills in Python and experience with data analysis and visualization tools.
• Experience working with cloud platforms or data environments.
• Ability to analyse complex data and translate insights into practical solutions.

Advantageous:

• Honours degree in AI, Data Science, or related field.
• Experience in manufacturing, engineering, or industrial environments.
• Exposure to automation, digitalization, or Industry 4.0 technologies.
• Knowledge of DevOps/MLOps practices and tools.

What we offer

• Opportunity to work on and develop a new field of advanced digital and AI-driven manufacturing solutions.
• A collaborative and cross-functional working environment.
• Continuous learning and development opportunities.

BMW Group SA is committed to creating and maintaining a diverse, inclusive, and equitable working environment, in line with the Employment Equity Act and our internal Employment Equity Plan. We encourage applications from all suitably qualified individuals, including those from designated groups as defined in the Employment Equity Act.

Closing Date: 27 May 2026