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    Data Scientist

    Location:Johannesburg
    Type:Permanent
    Reference:#NG61029
    Company:E-Merge IT Recruitment

    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.

    Are you ready for a change of scenery? E-Merge IT recruitment is a niche recruitment agency. We offer our candidates options so that we can successfully place the right people with the right companies, in the right roles. Check out the e-Merge IT website www.e-merge.co.za for more great positions.

    Do you have a friend who is a developer or technology specialist? We pay cash for successful referrals!

    Posted on 04 Mar 09:35, Closing date 3 May

    Apply

    Nokuthula Gumbo
    nokuthulag@e-merge.co.za
    0114633633

    Or apply with your Biz CV

    Create your CV once, and thereafter you can apply to this ad and future job ads easily.
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