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 it.jobs@mspstaffing.co.za. You can also contact the IT team on XXX-XXXX or visit our website at https://mspstaffingza.co/ 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.