Job Description
Empowering Africa’s tomorrow, together…one story at a time.
With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.
My Career Development Portal: Wherever you are in your career, we are here for you. Design your future. Discover leading-edge guidance, tools and support to unlock your potential. You are Absa. You are possibility.
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.
View Orignal JOB on: italents.netSupport 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)