Data Scientist

1 week ago

Stellenbosch, Western Cape, South Africa Truffle Full time R1 000 000 - R2 000 000 per year

Introduction:

A prominent player in the financial services sector is expanding its credit modelling capabilities and seeking a highly capable Data Scientist to strengthen its analytics team. Renowned for its innovative use of data in driving strategic decision-making, this organization offers a dynamic environment where cutting-edge modelling and machine learning techniques are central to their approach. The team values collaboration, curiosity, and rapid delivery – and is looking for someone who thrives in high-velocity environments with tangible impact.

Role Responsibilities:

As part of a growing team of over 15 full-stack analytics specialists, you'll be responsible for developing, implementing, and monitoring credit scoring and predictive models that directly shape business performance. Your core responsibilities will include:

  • Designing and deploying credit scorecards and behavioural models to predict repayment performance.
  • Leveraging logistic regression and machine learning techniques such as XGBoost and Random Forests.
  • Collaborating closely with data engineers to ensure model-ready, high-quality data pipelines.
  • Ensuring rigorous testing, validation, and monitoring of models in production.
  • Supporting and contributing to a robust MLOps framework for rapid model deployment.

Experience Requirements:

To succeed in this role, you'll need a solid foundation in practical credit modelling and the ability to explain your methods in detail. Key requirements include:

  • 5+ years' experience in data science, with a strong emphasis on credit modelling in Python.
  • Proven track record in building, validating, and deploying models into production environments.
  • Strong grasp of the credit risk lifecycle and relevant business impacts.
  • Familiarity with ML tools and libraries (e.g. XGBoost, Scikit-learn, etc.).
  • Ability to work effectively under tight timelines (30-day model delivery cycles are common).
  • Preference will be given to candidates with experience in fast-paced, high-accountability teams.

Education Requirements:

While qualifications are valued, practical experience takes precedence. Candidates with the following will be well-regarded:

  • Bachelor's or Master's degree in a STEM field (e.g., Actuarial Science, Mathematics, Statistics, Engineering, or related).
  • PhD candidates will be considered if they can demonstrate applied, hands-on modelling experience.

About Truffle:

At Truffle, we specialize in connecting top actuarial and analytics professionals with exciting career opportunities. Join our network to access roles tailored to your expertise and ambitions.

By submitting your application, you consent to Truffle processing your personal information in line with the Protection of Personal Information Act (POPI). If you have not received a response within two weeks, please consider your application unsuccessful.

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