Principal Data Scientist - Machine Learning
Pretoria, 0002, South Africa
Listed on 2026-11-01
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IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software)
Our client, a distinguished leader in scientific research and development, is actively seeking a Principal Data Scientist specializing in Machine Learning to join their innovative team. This influential role, based in Pretoria , will be instrumental in shaping the future of data-driven insights across a wide array of research projects. The ideal candidate will possess a profound expertise in developing and deploying sophisticated machine learning models, with a strong understanding of statistical principles and big data technologies.
You will have the opportunity to lead complex data science initiatives, mentor junior data scientists, and collaborate with domain experts to translate data into actionable intelligence. This is a premier opportunity to make a significant impact within a forward-thinking organization dedicated to scientific advancement. We are committed to fostering a culture of innovation, continuous learning, and collaborative problem-solving. The Pretoria location offers a strategic base within a hub of technological advancement and academic excellence.
- Design, develop, and implement advanced machine learning algorithms and statistical models to address complex research challenges.
- Lead the end-to-end data science lifecycle, from data collection and preprocessing to model deployment and monitoring.
- Identify opportunities to leverage data analytics and machine learning to drive new research directions and discoveries.
- Collaborate with cross-functional teams, including researchers, engineers, and domain specialists, to understand their needs and provide data-driven solutions.
- Develop and maintain scalable data pipelines and infrastructure for machine learning applications.
- Mentor and guide junior data scientists, fostering their technical and professional growth.
- Evaluate and benchmark the performance of different models and algorithms.
- Communicate complex findings and insights clearly and effectively to both technical and non-technical audiences through reports and presentations.
- Stay at the forefront of machine learning research and apply novel techniques to relevant problems.
- Ensure the quality, integrity, and reproducibility of data science work.
PhD or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field with a strong focus on machine learning. Minimum of 8 years of progressive experience in data science and machine learning, with a significant portion in a lead or principal role. Demonstrated expertise in developing and deploying machine learning models (e.g., deep learning, reinforcement learning, natural language processing, time series analysis).
Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Tensor Flow, PyTorch, scikit-learn). Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP). Strong understanding of statistical modeling, experimental design, and data visualization. Excellent analytical, problem-solving, and critical thinking skills. Exceptional communication and presentation abilities. Proven ability to lead projects and mentor team members.
Must have the legal authorization to work in South Africa.
Our client offers an industry-leading salary and a comprehensive benefits package, including performance bonuses and stock options. Extended health, dental, and vision coverage is provided for employees and their families. We offer ample paid time off, including vacation, personal days, and holidays. Significant investment in professional development, including conference attendance, training courses, and opportunities for academic collaboration, is a key focus.
Access to world-class computing resources and diverse datasets is assured. This is a fully remote position, offering flexibility and the ability to work from anywhere within South Africa , though proximity to Pretoria is advantageous for occasional team gatherings.
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