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  • Posted: Mar 12, 2026
    Deadline: Mar 31, 2026
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  • Lesaka empowers underserviced Southern African consumers and merchants to fulfil their potential by delivering innovative financial services and other business services focussed on their specific needs.
    Read more about this company

     

    Data Scientist: Marketing

    Job Description

    • Lesaka Technologies is seeking a Data Scientist: Marketing to turn customer and behavioural data into actionable marketing interventions. This is a hands-on role where you’ll combine data science, engineering, and marketing analytics to optimize campaigns and drive measurable business outcomes.

    What You’ll Do

    • Build and maintain marketing datasets, pipelines, and automation workflows using Google Cloud (Data Fusion, Dataflow, Pub/Sub, BigQuery), with Azure integration where needed.
    • Develop segmentation, propensity, churn, and uplift models to identify who to target, what message to send, and through which channel.
    • Operationalize models for campaigns across SMS, email, push, USSD, call centre, WhatsApp, and other channels.
    • Measure campaign performance and refine models with incrementality testing, A/B experiments, and KPIs.
    • Ensure data quality, compliance, and auditability across marketing data.

    What Success Looks Like in the First 90 Days

    • End-to-end marketing data flow is mapped and understood.
    • A production-ready targeting model or baseline scoring approach is live.
    • Campaign measurement framework (dashboards, tables, KPIs) is established.
    • Data quality risks are documented and mitigated.

    Required Skills & Experience

    • 3+ years in data science or applied analytics in fintech, banking, telco, retail, or similar customer-scale environments.
    • Strong Python and SQL, with experience in BigQuery.
    • Experience with supervised learning, segmentation/clustering, uplift or causal models.
    • Hands-on experience delivering pipelines on GCP, including batch and streaming workflows.
    • Experience integrating Azure Data Factory or mixed-cloud pipelines is a plus.
    • Strong engineering mindset: reproducible pipelines, version control, and operational support.

    Nice to Have

    • Marketing automation or campaign tooling exposure.
    • Knowledge of MLOps, model monitoring, and feature stores.
    • Experience with identity resolution, customer matching, and fraud/credit signals.
    • Familiarity with South African regulatory and privacy requirements.

    Personal Traits

    • Enjoys turning messy real-world data into actionable insights.
    • Comfortable challenging assumptions with evidence.
    • Outcome-driven, not just model-driven.

    Closing Date 24 March 2026

    Check how your CV aligns with this job

    Method of Application

    Interested and qualified? Go to Lesaka Technologies on lesakatech.simplify.hr to apply

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