Data Scientist
ABSA Bank
Job Type
Hybrid
Category
Technology
Monthly Salary
Not Specified
Deadline
29th September 2025
Location
Kampala
About ABSA Bank
Absa Bank Uganda Limited is part of Absa Group Limited, an African financial services group that aims to be the pride of the continent. Absa Group Limited is listed on the JSE in South Africa and is one of Africa’s largest diversified financial services groups with a presence in 12 countries across the continent and around 42, 000 employees.
We’re committed to finding local solutions to uniquely local challenges and everything we do is focused on adding value. To this end, we offer our clients a range of retail, business, corporate and investment, and wealth management solutions. We also ensure a positive impact in all the countries where we operate.
We’re part of a truly African brand, inspired by the people we serve and determined to make our continent proud.
We’re committed to finding local solutions to uniquely local challenges and everything we do is focused on adding value. To this end, we offer our clients a range of retail, business, corporate and investment, and wealth management solutions. We also ensure a positive impact in all the countries where we operate.
We’re part of a truly African brand, inspired by the people we serve and determined to make our continent proud.
Job Description
ABSA Bank is seeking a Data Scientist 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.
Responsibilities
- 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.
- 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.
- 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.
Requirements
- 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
- At least 5 years’ experience in working with big data sets
- Financial domain knowledge is an added advantage
- 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.
Apply Now
Share This Job
Know someone who would be interested? Share it directly or copy the link.
Copied to clipboard!