Senior Specialist Data Analytics – Data Scientist

Our client is seeking a highly skilled Senior Specialist: Data Analytics Data Scientist to lead the design development and deployment of advanced data science and machine learning solutions. This senior role will play an important part in driving data-led decision-making modernisation initiatives and organisational performance while providing technical leadership and specialist guidance across the business.

• Lead and mentor Data Scientists in developing scalable high-quality data science solutions.
• Manage solutions across the full machine learning lifecycle from problem formulation and data preparation through to deployment monitoring and optimisation.
• Conduct advanced statistical analysis computational modelling and machine learning to identify trends opportunities and potential risks.
• Develop and implement best-practice approaches across Data Science Data Engineering Business Intelligence and MLOps.
• Monitor data integrity model performance and analytical processes to identify deficiencies and drive continuous improvement.
• Apply model validation explainability and Responsible AI principles across analytical solutions.
• Analyse complex business information and translate findings into clear recommendations and actionable strategies.
• Produce advanced data visualisations and communicate analytical findings to technical and non-technical stakeholders.
• Research emerging methodologies technologies and industry best practices to improve existing solutions.
• Provide specialist advice and influence stakeholders across multiple business areas.
• Support governance compliance risk management and quality assurance within the data analytics environment.

• An Honours Degree/Postgraduate Diploma (NQF 8) in Statistics Mathematics Engineering Computer Science Data Science or a related field with 1012 years experience in a Data Analytics environment including 34 years at specialist level; or
• A Bachelors Degree/Advanced Diploma (NQF 7) in a relevant field with 1215 years experience in Data Analytics including 34 years at specialist level.
• Advanced experience in Data Science Data Engineering and/or Business Intelligence.
• Expert knowledge of the end-to-end machine learning lifecycle.
• Advanced experience with SQL or equivalent technologies Python R and/or Spark.
• Strong knowledge of statistical analysis tools and techniques including platforms such as SAS SPSS or R.
• Expert knowledge of data warehousing and enterprise data platforms.
• Experience in feature engineering MLOps model lifecycle management validation and explainability.
• Strong understanding of scalable data processing and advanced data visualisation.
• Demonstrated technical leadership mentoring and quality assurance experience.
• Excellent analytical thinking problem-solving attention to detail stakeholder communication and business acumen.
• The ability to translate complex business challenges into measurable data-driven solutions.

All positions will be filled in accordance with the companys Employment Equity plan. We encourage people with disabilities to apply.

If you do not receive feedback within two weeks of your application please consider it unsuccessful. Keep an eye on our website and other career sites for future opportunities.

REF: PG01