Description:
Inherent RequirementsAt least 10 years of hands-on involvement in data science projects, including managing large-scale initiatives and leading multidisciplinary teams. Degree (Honours, Masters or PHD) in quantitative fields such as Actuarial Science, Statistics, Computer Science, Engineering, Mathematics and/or combination of these. Proven expertise in data science technologies such as Python, PowerBI, Microsoft Azure, Spark, big data ecosystems, machine learning frameworks, and cloud infrastructure. Deep knowledge of Python or R and common analytics/ML libraries (NumPy, Pandas, Matplotlib, SciPy), as well as a proven track record using Jupyter notebooks. Strong SQL skills and experience with large, complex datasets are essential. Demonstrated ability to apply statistical machine learning techniques to predictive modeling, delivering measurable value. A history of successfully bringing data science solutions into high-scale production environments, ensuring long-term reliability and business impact.
10 Apr 2025;
from:
gumtree.co.za