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  • Posted: Nov 17, 2025
    Deadline: Dec 18, 2025
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  • Kifiya is an AI-powered ecosystem technology company building intelligent infrastructures that expand access to finance and markets for underserved communities. For more than a decade, we have applied data, digital platforms, and financial innovation to solve market failures and enable economic participation for micro, small, and medium enterprises (MSMEs...
    Read more about this company

     

    Data Scientist

    What You’ll Do

    • Model Development: Build, test, and validate predictive models for credit risk, customer analytics, and efficiency.
    • Data Preparation: Collaborate with Data Engineering to clean, structure, and transform raw data into usable datasets.
    • Feature Engineering: Design new features to improve model accuracy and business impact.
    • Analysis & Insights: Conduct exploratory data analysis to uncover risks, opportunities, and trends.
    • Collaboration: Work with cross-functional teams to integrate models into production and decision-making.
    • Documentation: Maintain records of methodologies, experiments, and results for transparency and reproducibility.
    • Continuous Learning: Stay current with new ML methods, tools, and best practices.

    What You’ll Bring

    • Bachelor’s or Master’s in Data Science, Statistics, Mathematics, Computer Science, or related field.
    • 2–4 years’ experience in data science or advanced analytics.
    • Proficiency in Python or R, with libraries such as pandas, scikit-learn, TensorFlow.
    • SQL expertise and experience working with structured/unstructured data.
    • Solid grounding in statistical modeling, hypothesis testing, and machine learning.
    • Strong communication skills for both technical and non-technical stakeholders.
    • Familiarity with Agile methods and tools (Jira, Confluence).

    Preferred:

    • Experience in financial services, fintech, or credit risk modeling.
    • Knowledge of MLOps frameworks and model deployment practices.
    • Exposure to cloud platforms (AWS, Azure, GCP) and big data tools (Spark, Databricks, Hadoop).
    • Experience with visualization tools (Power BI, Tableau, etc.).

    Check how your CV aligns with this job

    Method of Application

    Interested and qualified? Go to Kifiya Financial Technology on kifiya.com to apply

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