About the position
The key focus of your role will be to build and lead a high-performing team of Data Scientists and Analytics professionals. By fostering a sustainable, long-term capability in Data Science and Analytics, you will establish the foundation needed to achieve strategic objectives and continuously drive innovation and impact through data.
Key Requirements:
- Advanced Academic Background - Degree (Honours, Masters or PHD) in quantitative fields such as Actuarial Science, Statistics, Computer Science, Engineering, Mathematics and/or combination of these.
- Professional Certifications: Proven expertise in data science technologies such as Python, PowerBI, Microsoft Azure, Spark, big data ecosystems, machine learning frameworks, and cloud infrastructure.
- Extensive Experience: At least 10 years of hands-on involvement in data science projects, including managing large-scale initiatives and leading multidisciplinary teams.
- Technical Proficiency: 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.
- Applied Machine Learning: Demonstrated ability to apply statistical machine learning techniques to predictive modelling, delivering measurable value.
- Operationalization Expertise: A history of successfully bringing data science solutions into high-scale production environments, ensuring long-term reliability and business impact.
Should you meet the requirements for this position, please email your CV to [Email Address Removed]. You can also contact the IT team on [Phone Number Removed]; or visit our website at [URL Removed] NOTE: When replying to the advert, also include the reference number in the subject line. Correspondence will only be conducted with short listed candidates. Should you not hear from us within 3 days, please consider your application unsuccessful.
Desired Skills:
