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...