Hr jobs in South Africa
SENIOR DATA SCIENTIST – MELROSE ARCH – GAUTENG
Tych Business Solutions
Strategic Cfo : Lead Finance & Growth Strategy
Letshalo Hr Services
LECTURER - QUALITY ASSURANCE COORDINATOR PND 1/2
Department of Health
Discover more opportunities than anywhere else. Find more jobs nowRemote Payroll Consultant — Africa Implementation Lead
Deel
Finance Reporting Lead - Business Intelligence
Woolworths Financial Services
Connect with headhunters to apply for similar jobsSenior People Data Analyst
Woolworths Financial Services
Radiation Oncology Radiographer (Re-Advertisement)
Department of Health
Deputy Manager Pharmaceutical Services - Contract Management
Department of Health
Finance Manager - Controls, Syspro & Remote Branch Oversight
Sci Tech Placements
Healthcare Training & Development Lead
Bidvest Prestige
Dental Practice Manager: Lead Ops & Patient Care
MedE Recruit
DENTAL PRACTICE MANAGER | CLAREMONT, CAPE TOWN
MedE Recruit
Senior Operations Manager – Durban, South Africa
Custom Connect
Senior Database Administrator - Performance, Security & ETL
Tych Business Solutions
SENIOR DATA SCIENTIST – MELROSE ARCH – GAUTENG
Job summary
A data analytics firm in Johannesburg is looking for a Senior Data Scientist to lead the design and deployment of advanced analytics and machine learning solutions. The ideal candidate will have a Bachelor's degree in Data Science or related fields, backed by 6–8 years of experience in the field. The role emphasizes the development of ML models, deep understanding of data engineering, and operational efficiency. Excellent communication and stakeholder engagement skills are also essential for this position.
Qualifications
- 6–8+ years of experience in data science, with 2–3 years in a senior or lead role.
- Proven experience in developing and deploying machine learning models in production environments.
- Solid understanding of data engineering principles and cloud data architectures.
Responsibilities
- Lead the design, development, and deployment of advanced analytics and machine learning solutions.
- Drive strategic decision-making and operational efficiency across the organisation.
- Embed intelligent automation and predictive modelling.
Skills
Education
Tools
The Senior Data Scientist will lead the design, development, and deployment of advanced analytics and machine learning solutions that drive strategic decision-making and operational efficiency. This role requires a deep understanding of data science, data engineering, and AI concepts, and will play a pivotal role in embedding intelligent automation and predictive modelling across the organisation.
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- 6–8+ years of experience in data science, with at least 2–3 years in a senior or lead role.
- Proven experience in developing and deploying machine learning models in production environments.
- Strong proficiency in Python, R, SQL, and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Solid understanding of data engineering principles and cloud data architectures (e.g., Azure, AWS, GCP).
- Experience with MLOps tools (e.g., MLflow, Kubeflow, Airflow).
- Excellent communication and stakeholder engagement skills.
- Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
- Experience with large language models (LLMs) and generative AI.
Experience in healthcare, retail, or insurance data ecosystems
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.