Inherent Requirements
At 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)...