Data Scientist
A rapidly growing, internationally focused company is broadening its suite of solutions within the supplier sector, customer risk, and third-party risk management. To support this growth, we are seeking a highly capable Senior Data Scientist to take full ownership of the end-to-end data and modelling lifecycle, delivering production-grade, business-critical solutions.
This is a high-impact role suited to a technically strong, hands-on data professional who thrives in ownership, leadership, and solution delivery.
Responsibilities:- Work closely with external specialists and internal business partners to enhance technical delivery where required.
- Develop and optimise robust, scalable data pipelines that enable advanced analytics and machine learning processes.
- Design, train, implement, and continuously monitor statistical and machine learning models to ensure they are production-ready and reliable.
- Convert complex analytical findings into clear, practical recommendations aligned with strategic business goals.
- Conduct sophisticated data preprocessing and feature engineering, managing missing values, outliers, and intricate data transformations.
- Assess and validate model effectiveness using appropriate evaluation metrics and methodologies specific to each use case.
- Bachelor’s degree or higher in engineering, data science, computer science, statistics, or another quantitative field.
- Minimum of 3 years’ experience in a data science or data engineering role, preferably within fintech, banking, or risk management.
- Advanced machine learning techniques applied in financial technology environments.
- Natural language processing (NLP) for both structured and unstructured datasets.
- Financial modelling, including value at risk (VaR) and related metrics.
- Dimensional data modelling, including slowly changing dimensions (SCDs), fact tables, and star/snowflake schemas.
- Strong proficiency in statistical analysis and machine learning methodologies applied to production-grade solutions.
Qualifications and experience:
The reference number for this position is
NG61029 which is a
permanent Hybrid position in
Johannesburg offering a salary of up to
R960k CTC salary negotiable based on experience. E-mail
Nokuthula on
e-Merge.co.za or call her for a chat on 011 463 3633 to discuss this and other opportunities.
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www.e-merge.co.za for more great positions.
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Posted on 04 Mar 09:34, Closing date 3 May