Senior Data Scientist

• 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 RESPONSIBILITIES /KEY DELIVERABLES

• 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. 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. QUALIFICATIONS, EXPERIENCE AND COMPETENCIES REQUIRED

• 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 THE FOLLOWING DOCUMENTS SHOULD ACCOMPANY THE APPLICATION ▪ Cover letter, Detailed CV, and Copies of academic documents all as one file. MODE OF APPLICATION

▪ Online applications addressed to Chief People & Strategy Officer, Pearl Bank Uganda. ▪ Send application toemail with job title as subject.

▪ Closing Date: Friday 5th June 2026 at 5:00pm. ▪ Only shortlisted candidates will be contacted. Pearl Bank Uganda Ltd is an equal opportunity employee