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  • Posted: Apr 10, 2026
    Deadline: Not specified
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  • iRecharge Tech-Innovations is an internet-powered distribution platform that enables users to purchase virtual products and services such as airtime and mobile data, internet subscriptions, pay-TV, and Bulk SMS.
    Read more about this company

     

    Data Scientist (Machine Learning Focus)

    • The ideal candidate will combine strong analytical expertise with fintech domain knowledge to optimize performance, detect patterns, and drive business growth.

    Key Responsibilities

    • Develop, test, and deploy machine learning models for use cases such as customer segmentation, fraud detection, transaction prediction, and user behavior analysis.
    • Perform exploratory data analysis (EDA), data cleaning, and feature engineering on high-volume transaction datasets.
    • Collaborate with product, engineering, and business teams to identify opportunities that improve customer experience and revenue.
    • Design and automate dashboards and reports to track KPIs such as transaction success rates, customer retention, and revenue performance.
    • Translate complex data insights into clear, actionable recommendations for stakeholders and leadership.
    • Monitor model performance and retrain models to maintain accuracy and reliability.
    • Work with large datasets from multiple sources including APIs, payment systems, databases, and cloud platforms.
    • Support fraud analytics, anomaly detection, and risk modeling initiatives.
    • Establish and promote data science best practices, including documentation and model governance.

    Requirements

    • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
    • 3–5 years of experience in data science, preferably within fintech, banking, or digital payments.
    • Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch).
    • Experience with SQL and working knowledge of NoSQL databases.
    • Solid understanding of machine learning algorithms and statistical analysis.
    • Experience handling large-scale transaction or financial datasets.
    • Proficiency in data visualization tools (Power BI, Tableau, or similar).
    • Familiarity with cloud platforms (AWS, Azure, or Google Cloud).
    • Strong analytical and problem-solving skills.
    • Excellent communication skills with the ability to present insights to non-technical stakeholders.

    Preferred Qualifications

    • Experience in fraud detection, credit risk modeling, or financial analytics.
    • Knowledge of MLOps and model deployment pipelines.
    • Experience in a fast-paced fintech or startup environment.

    Key Performance Indicators (KPIs)

    • Model accuracy and performance
    • Fraud detection efficiency and reduction rates
    • Improvement in customer retention and transaction success rates
    • Timeliness and business impact of insights delivered
    • Adoption and usability of dashboards across teams

    Key Competencies

    • Data-Driven Thinking
    • Business & Financial Acumen
    • Collaboration & Stakeholder Management
    • Innovation & Continuous Learning
    • Attention to Detail

    Check how your CV aligns with this job

    Method of Application

    Interested and qualified candidates should submit their Updated CV's as a PDF file to recruitments@istrategytech.com 

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  • Send your application

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