Data Science Engineer - Fleet Management (Centurion)

About the role

MJM Recruitment is hiring one Data Science Engineer in Centurion for a fleet management project. The engineer works with senior data scientists to pioneer new data and analytics products, combining a strong background in data science, machine learning and software engineering with proven experience delivering data solutions in Azure.

Key responsibilities

• Collaborate with senior data scientists to develop and implement new data science initiatives.
• Design and build robust data pipelines in Azure to support data science work.
• Manage and report on cloud costing to ensure efficient resource use.
• Assist in analysing IoT data and run governance tests to ensure data integrity and compliance.
• Contribute to the next generation of vehicle analytics based on mechanical engineering principles.
• Run data science experiments focused on feature engineering for machine learning models.
• Develop MLOps pipelines to monitor and optimise model performance.
• Innovate on AI-driven projects using large language models and computer vision.

Required profile

• Bachelor's degree in Mechanical Engineering with a strong emphasis on data science and AI applications.
• At least 3 years of professional experience blending mechanical engineering with data science or AI, with a track record of practical solutions.
• Solid experience in mechanical systems analysis and applying AI and machine learning to complex engineering problems.
• Knowledge of IoT data governance and compliance in mechanical contexts.

Required skills

• Azure for building and managing data pipelines, integrating mechanical engineering data.
• MLOps and monitoring of AI model performance in engineering applications.

Candidates are contacted through the recruitment agency, MJM Group.