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About the Organisation
Data Scientist job at ABSA Bank | Apply Now
Kampala, Uganda
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.
Absa Bank Uganda Limited is a reputable and innovative financial institution dedicated to empowering individuals and businesses with a comprehensive range of banking solutions that drive sustainable economic growth and community development. With a mission to deliver exceptional financial services and foster lasting customer relationships, the bank has earned significant recognition for its market leadership, commitment to excellence, and strong ethical standards.
Evolving from its humble beginnings into a major player in Uganda’s banking sector, Absa Bank Uganda Limited boasts a dynamic work culture that promotes diversity, continuous learning, and employee empowerment through competitive benefits, flexible work arrangements, and ample career opportunities. Leveraging a modern business model and cutting-edge technology, the bank maintains a broad reach and robust presence in the region, underpinned by core values of integrity, innovation, and customer-centricity.
Its dedication to corporate social responsibility is evident in its active support for community initiatives, educational programs, and environmental sustainability efforts. For more information, visit [Company Website].
Are you looking for IT jobs in Uganda 2025 today? then you might be interested in Data Scientist job at ABSA Bank
Full Time
Deadline:
3 Jun 2025
Job Title
Data Scientist job at ABSA Bank
ABSA Bank
Job Description
Job Title: Data Scientist
Organisation: ABSA Bank
Duty Station: Kampala, Uganda
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.
Duties, Roles and Responsibilities
Qualifications, Education and Competencies
See all details of the qualifications, competencies and education for this role under the "How to Apply" section below.
All suitably qualified and interested candidates who wish to join ABSA Group in the aforementioned capacity should apply online at the APPLY Button below.
Deadline: 3rd June 2025
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How to Apply
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.
SERVICES
COMMERCIAL
SERVICES
INDUSTRIAL
SERVICES
RESIDENTIAL
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)
