Senior Data Scientist

Job Summary: To harness advanced analytics, machine learning, and Artificial Intelligence to transform data into actionable insights, develop predictive models, solve complex business challenges, and enable strategic decision-making and operational efficiency across the Bank.

Key Duties and Responsibilities:

• Advanced Data Analysis & Modeling: Uncover hidden patterns and develop insights relevant to the bank and wallet operations using advanced statistical, quantitative, and Machine Learning methods.
• Design and implement robust, scalable machine learning models.

Model Optimization & Monitoring: Optimize model

• performance and design automated solutions for model monitoring, including data drift detection and correction strategies.
• Explainable AI for Risk: Apply advanced analytics and AI/ML methods to explain the models and ensure transparency and interpretability.
• Framework Development: Develop scalable data science frameworks to enable efficient, build-once, deploy-many capabilities for various financial models.
• Production Integration: Develop and integrate machine learning algorithms into production-grade applications, particularly using FastAPI, ensuring robust, performant, and maintainable solutions.
• Strategic Product Contribution & Collaboration: Contribute to the full product lifecycle from ideation and requirements gathering to development, launch, and post-launch performance monitoring, partnering with senior leadership, business analysts and engineering teams to gather requirements, manage expectations, and secure alignment.
• Responsible AI & Governance: Ensure all data products and analytical solutions adhere to Pearl’s stringent risk, compliance, and regulatory standards, including data privacy and ethical AI principles within the financial domain.
• Mentor data scientists and provide guidance on best practices, tools, and methodologies.
• Stay updated on industry trends and emerging technologies, incorporating them into team practices.

Qualifications, Skills and Experience:

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field from a recognized institution.
• A master’s in data science, computer science, or a similar discipline is advantageous.
• Formal training in machine learning, artificial intelligence, data mining, or statistical modelling.
• Evidence of ongoing professional development through workshops, online courses, or industry certifications in emerging data science methodologies and tools
• Hands-on experience in building and deploying Machine Learning solutions in a production environment.
• Profound knowledge of quantitative methods, probability theory, statistics, and numerical methods.
• Demonstrated MLOps expertise, encompassing model deployment, versioning, lifecycle management, and proficiency in data drift monitoring and correction.
• Proven experience in a quantitative field. Bonus points for exposure to the Financial or Credit Risk industry

BUSINESS BEHAVIOURS

• Passion: Committed to excellence, delivering outstanding results and making a positive impact on our customers and stakeholders.
• Teamwork: Collaborates, mutual respect, and diverse
• perspectives, to achieve shared success and deliver greater value to the Bank.
• Integrity: Uphold honesty, transparency, and accountability, ensuring ethical practices in every action.
• Innovation: Embrace creativity and forward-thinking, continually seek new solutions to enhance customer experience and drive business growth.

How to Apply:

THE FOLLOWING DOCUMENTS SHOULD ACCOMPANY THE APPLICATION

Cover letter, Detailed CV, and Copies of academic documents all as one file.

Online applications addressed to Chief People & Strategy Officer, Pearl Bank Uganda.

Send application to hr@pearlbank.com with job title as subject as one (1) Pdf.

Closing Date: Friday 5th June 2026 at 5:00pm.

Only shortlisted candidates will be contacted.

Deadline: 5^th June 2026

NB: Only shortlisted candidates will be contacted.