Johannesburg: Data Scientist

About the Role

We are seeking a highly skilled Data Scientist to join our team in Johannesburg, South Africa. As a key member of our data engineering and analytics team, you will be responsible for designing and implementing robust data pipelines, analyzing complex datasets, and developing intuitive BI dashboards. You will work closely with business stakeholders to gather requirements, validate solutions, and troubleshoot issues. If you have a passion for data science and a drive to deliver insights that support business decision-making, we want to hear from you.

Key Responsibilities

• Design, build, and maintain robust data pipelines that ingest, transform, and store structured and unstructured data from multiple sources.
• Design and implement scalable data platform architectures to support evolving business needs.
• Manage and optimise database infrastructure for scalability, focusing on query optimization, indexing strategies, high availability, and cost effectiveness.
• Develop and maintain a deep technical mastery of the end-to-end data ecosystem.
• Deep-dive into raw datasets where required to ensure that data outputs are logically sound, rigorously tested, and provide an accurate reflection of business reality.
• Translate complex data from multiple sources into meaningful insights that support business decision-making across all functions (sales, operations, credit, Finance, Legal).
• Perform high level data analysis to identify trends, risks, and opportunities within lending and financial datasets.
• Implement data quality checks, monitoring, and performance tracking to ensure the accuracy, completeness, and reliability of datasets.
• Maintain data catalogs and lineage documentation to ensure data is discoverable, governed, and compliant with privacy and compliance regulations.
• Implement and maintain data security best practices and access controls.
• Develop and maintain automated SQL-based cloud reporting solutions.
• Build intuitive, insightful BI dashboards for internal stakeholders and clients.
• Ensure reporting is accurate, timely, and aligned to business KPIs.
• Support and contribute to AI-driven initiatives, including automation and intelligent decision support.
• Collaborate with stakeholders to identify opportunities where AI can enhance operational efficiency or customer needs.
• Support the development of front-end data interfaces that improve usability and value for internal users and customers.

Requirements

• Degree in Information Systems, Computer Science, Engineering, Data Science, or a related field.
• Minimum 4 years experience in building end-to-end data solutions.
• Proven experience within the financial services or lending sector.
• Strong proficiency in:
• Advanced SQL – complex queries, stored procedures, and performance tuning
• Data analysis, reporting, and BI Dashboard development
• ETL/ELT Frameworks, automated workflows, or cloud-native orchestrators

Qualifications

No qualifications mentioned.

Salary & Benefits

Salary details not specified.