Data Science
Data Scientist, Personal & Private Banking
Job ID: #
SUMMARY: Stanbic Bank Uganda is seeking a Data Scientist to support insights, analytics, and personalised client conversations within Personal and Private Banking. The role focuses on data mining, statistical analysis, machine learning, campaign modelling, cloud-based data pipelines, MLOps, experimentation, and responsible AI.
KEY RESPONSIBILITIES:
Apply data mining, statistical analysis, machine learning, and visualisation techniques to structured and unstructured datasets.
Build and enhance campaign models for acquisition, retention, right-sell, and cross-sell interventions.
Design, develop, and deploy scalable data pipelines and machine learning solutions on cloud platforms such as Azure or AWS.
Operationalise machine learning models using MLOps practices, including deployment, monitoring, versioning, and retraining.
Apply NLP, recommender systems, Generative AI, A/B testing, uplift modelling, and causal inference to improve personalisation and decisioning.
Translate analytical outputs into clear, actionable insights for business stakeholders.
Company:
Stanbic Bank Uganda
Location:
Kampala, Uganda
Company Size:
Job Type:
Full-time
Date:
19 May 2026
Requirements
First degree in Mathematical Sciences, Information Technology, or a related field from a recognised institution.
Master’s degree in Business Commerce.
5–7 years of experience in quantitative analytics, modelling, customer insights, and data-driven business outcomes.
Experience working with structured and unstructured data, ETL, data architecture, cloud data solutions, and scalable analytics.
Experience deploying machine learning models into production, including API deployment and enterprise system integration.
Knowledge of data science toolkits, MLOps frameworks, data visualisation tools, responsible AI, model governance, and cloud or AI certifications is an added advantage.