ABSA BANK
Job Summary
Responsible for identifying patterns and trends in complex data sets and developing data-driven algorithms and models to solve key business challenges. By leveraging statistical analysis, machine learning, and data engineering techniques, the role enables value extraction from data and supports strategic, data-informed decision-making across the organization.
Job Description
Key accountabilities
Accountability: Data Analysis & Modeling – 45%
- Collect, clean, and preprocess structured and unstructured data from various sources.
- Perform exploratory data analysis (EDA) to uncover trends, correlations, and anomalies.
- Develop, test, and validate predictive models and machine learning algorithms to solve key problems or exploit opportunities including but not limited to:
- Fraud detection
- Marketing personalisation
- Credit decisioning
- Customer churn
- Product recommendations
- Customer experience
- Customer interaction
- Optimize model performance and ensure scalability for deployment in production environments.
Accountability: Business Insight & Communication – 35%
- Translate complex analytical results into clear, actionable business insights.
- Create dashboards, visualizations, and reports to communicate findings to stakeholders.
- Present data-driven recommendations to both technical and non-technical audiences.
- Support strategic decision-making by aligning insights with business objectives.
Accountability: Collaboration & Data Governance – 20%
- Partner with cross-functional teams (e.g., IT, Product Team, Marketing & Customer Experience) to integrate data science solutions into business processes.
- Ensure data quality, integrity, and consistency across systems and workflows.
- Adhere to ethical standards and data privacy regulations in all data handling activities.
- Contribute to the development and maintenance of data governance frameworks and best practices.
Role/person specification
Preferred Education
- Bachelor’s or master’s degree in data science, Computer Science, Statistics, Mathematics, or a related field.
- Relevant professional certifications in data science, analytics, machine learning, artificial intelligence, and cloud platforms are considered added advantages
Preferred Experience
- At least 5 years’ experience in working with big data sets
- Financial domain knowledge is an added advantage
Knowledge And Skills
- Technical Proficiency – Strong foundation in statistics, machine learning, programming (Python, R, SQL), data visualization, and cloud platforms.
- Analytical & Problem-Solving Skills – Ability to work with complex datasets, perform advanced analysis, and extract actionable insights with attention to detail.
- Communication & Collaboration – Skilled in conveying technical findings to diverse audiences and working effectively within cross-functional teams.
Education
Bachelor`s Degrees and Advanced Diplomas: Physical, Mathematical, Computer and Life Sciences (Required)
