Johannesburg: Data Scientist

This is a fantastic opportunity to join a forward‑thinking healthcare organisation that is deeply committed to innovation, digital transformation, and the intelligent use of data to improve patient outcomes and business performance. As a Data Scientist, you will play a critical role in enabling data‑driven decision‑making across the organisation. Youll work within an advanced analytics environment where experimentation, new ideas, and disruptive techniques are encouraged. The role spans the entire data science lifecycle from understanding business requirements and performing feature engineering to building, validating, deploying, and monitoring production‑grade models used by various business functions. Whats In It For You?: Work on impactful healthcare analytics projects Exposure to advanced ML technologies and big‑data architecture Highly innovative environment with room for research and experimentation Opportunity to influence strategy and shape predictive modelling frameworks Key Responsibilities: Develop predictive and prescriptive analytics solutions to support key business decisions. Work across the full data science lifecycle: data preparation, feature engineering, modelling, validation, deployment, and monitoring. Partner with business stakeholders to define analytical requirements, provide insights, and develop data‑driven strategies. Research, test, and implement innovative ML/statistical techniques to improve analytics capabilities. Build production‑ready ML models and monitor model performance to ensure they remain accurate and fit for purpose. Present insights, trends, and analytical findings to technical and non‑technical audiences. Job Experience and Skills Required: Education (Minimum Requirement): Honours / Masters / PhD in Statistics, Computer Science, Mathematics, Engineering, or related quantitative fields. Certifications in Python, cloud platforms, big data, machine learning, or related technologies beneficial. Experience: 56 years experience in data science or advanced analytics. Strong experience with Python (NumPy, Pandas, SciPy, Matplotlib) and Jupyter notebooks. SQL proficiency and experience managing large structured and unstructured datasets. Hands‑on experience in applying machine learning techniques to solve business problems. Experience working in agile development teams. Experience deploying or operationalising data science solutions in a production environment. Skills and Competencies: Strong knowledge of the Data Science Development Cycle. Ability to clean, transform, and unify complex datasets for modelling. Strong visualisation experience (Power BI, Tableau, Kibana or similar). Experience with big‑data technologies (Spark, Hadoop, Kafka) advantageous. Strong analytical, conceptual, and problem‑solving ability. Ability to translate ML outputs into clear, actionable business recommendations. Understanding of data architecture, ETL processes, and production pipelines. Apply now! For more exciting Finance vacancies, please visit: