Data Scientist; SQL & Python R950k per annum

A fast-growing financial services group providing, fast, simple, and affordable unsecured microfinance loans to formally employed individuals across Sub‑Saharan Africa. It is recruiting a Data Scientist with experience in GCP (Google Cloud Platform) and its products like Looker Studio, Colab and Big Query. In this role you will analyze complex data sets, create insightful visualizations, and work closely with stakeholders to develop solutions that support data‑driven decision‑making.

You will be responsible for extracting insights, identifying trends, building predictive models and presenting findings to enhance operational efficiency and optimize business processes.

• Collect, clean, and transform data from multiple sources to ensure quality and accuracy.
• Perform exploratory data analysis and apply statistical and predictive modelling techniques to generate actionable insights.
• Translate business challenges into structured analytical frameworks and end‑to‑end model solutions.
• Develop dashboards, reports, and visualisations to effectively communicate findings to stakeholders.
• Support data‑driven decision‑making across teams, including market analysis, segmentation, and performance optimisation.
• Monitor and validate model performance, ensuring stability and managing drift.
• Ensure compliance with data governance, security, and privacy standards.
• Maintain documentation and continuously enhance technical and analytical capabilities.

• Bachelor's or Master's degree in a relevant field (Mathematics, Statistics, Computer Science, Data Analytics/Science).
• Proven experience as a Data Scientist or in a similar analytical role, with demonstrated expertise in the credit industry.
• Proficiency in data analysis tools such as GCP (Google Cloud Platform), Google Big Query, SQL, Python, and data visualization tools like Google Looker Studio.
• Strong analytical and problem‑solving skills with keen attention to detail.
• Ability to handle and analyze large datasets efficiently.
• Experience with statistical analysis techniques and data modelling.
• Excellent communication and presentation skills.
• Proficiency in Microsoft Excel and other data manipulation tools.
• Familiarity with data governance principles and best practices.
• Knowledge of data privacy regulations and compliance standards is a plus.

The Reference Number for this position is NG61124 which is a Permanent, hybrid role in Stellenbosch, Cape Town offering a salary of up to R950k per annum – salary negotiable based on experience.

E‑mail Nokuthula on  or call her for a chat on  to discuss this and other opportunities.

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