Vacancies at Kasha Kenya

About the Role

The Data Scientist will leverage AI/ML-driven predictive analytics to support the development and deployment of Proof-of-Concept (PoC) and Minimum Viable Products (MVPs) focused on NCD (Non-Communicable Diseases) patient retention, delivery forecasting, behavioral adherence, and AI-powered virtual assistants. The role involves building machine learning models for risk scoring, adherence prediction, and supply chain optimization while integrating insights into existing healthcare and logistics dashboards to improve patient outcomes and operational efficiency. Role can be based in Egypt, Rwanda, Kenya and/or South Africa.

Responsibilities

• Predictive Analytics & AI Models

  • Design and develop AI-driven risk scoring models to identify NCD patients at risk of disengagement.
  • Build predictive models to forecast eligibility transitions for improved patient care pathways.
  • Implement a Machine Learning-based adherence segmentation model to analyze patient behavior patterns.

  Delivery Forecasting & Supply Chain Optimization

  • Develop an AI-powered delivery forecasting model to predict medication delivery accuracy and potential delays.
  • Integrate predictive insights into logistics and warehouse management systems to improve proactive planning.

  AI-Powered Virtual Assistants

  • Develop and deploy AI-powered chatbots and virtual assistants for medication reminders, real-time patient engagement, and adherence support.
  • Enable self-service patient platforms for medication-related queries and preference management.

  Data Engineering & Infrastructure

  • Design and optimize Python-based ETL pipelines for data flow between AI models and healthcare dashboards.
  • Work with MS Dynamics integrations to enhance AI-driven decision-making in clinical and operational processes.
  • Ensure seamless API integrations for real-time data exchange between predictive models and user-facing applications.

  Monitoring, Validation & Deployment

  • Develop real-time monitoring mechanisms for risk stratification insights and adherence dashboards.
  • Optimize CI/CD pipelines for AI/ML model deployment and automate API-based data updates.
  • Conduct model validation, A/B testing, and performance tuning to refine PoC models before MVP scaling.

  Collaboration & Knowledge Sharing

  • Work closely with healthcare professionals, supply chain teams, and DevOps engineers to align AI models with operational needs.
  • Provide executive-level data insights through Jupyter notebooks and visualization dashboards.
  • Contribute to AI/ML best practices through code reviews, documentation, and team knowledge sharing.

Qualifications

• Machine Learning & AI: Supervised and unsupervised learning, risk prediction models, forecasting algorithms.
• Programming & Data Processing: Python, SQL, Pandas, Scikit-learn, TensorFlow/PyTorch.
• Cloud & Infrastructure: AWS (RDS, Lambda, SageMaker), Google Cloud, or Azure AI services.
• ETL & Data Engineering: Experience with building scalable data pipelines for ML models.
• APIs & Integration: REST APIs, MS Dynamics API, healthcare data interoperability.
• Visualization: Jupyter, Power BI, or similar platforms.

Experience

• 3+ years of experience in Data Science, AI/ML, or predictive analytics in healthcare, logistics, or enterprise AI applications.
• Microsoft Data Analyst Associate certification or BSc in Computer Science, AI, or a related field.

Knowledge

• Strong communication skills for engaging clinical teams, engineers, and business stakeholders.
• Ability to translate complex AI insights into actionable business strategies.
• Experience in healthcare analytics, supply chain optimization, or chatbot development is a plus.

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About the Role

• Build scalable APIs, data processing pipelines, and integrations. Support existing services, websites and CMS.  Develop user-facing interfaces using modern frameworks like React, Angular, or in pure HTML/ JS. This role can be based in Rwanda, Kenya, South Africa and/or Egypt.

Responsibilities

• Maintaining the python USSD repository that manages the USSD ordering systems for both RW & KE (*911#, *308#), USSD customer lists, and the agents onboarding.
• Write and maintain the MS Dynamics extensions (for integrations with 3rd parties and Kasha-specific customizations
• Maintain the front-end components of Kasha websites and CMS.
• Maintain and further develop Kasha Care App (form mobile phones)
• Coordinate with the PM team to assess the feasibility of features and plan their implementation.
• Maintain the module (written  in Python) for mass-market agent commission calculation.
• Maintain the SMS service (written in PHP).
• Coordinate with other team members to share specialized knowledge about one’s own specialization and learn about the other team member’s specializations.
• Get familiar with the MS Dynamics UI, in order to be able to understand and evaluate business requests for new features or improvements.

Qualifications/Experience/Knowledge

• Proficiency in the following: Python; SQL; AWS: RDS, EC2, SNS, SQS, S3, Lambda; Rabbit MQ; Redis; MongoDB; MS Dynamics API, PHP, JS, HTML5, CSS
• 5+ years of experience.
• BSc in computer science or AWS Certified Developer (https://aws.amazon.com/certification/certified-developer-associate).
• Great written and verbal communication skills (our team is operating globally)
• Openness to learning new systems and programming languages (first and foremost MS Dynamics 365 Business Central and AL)
• The ability to organize one’s own time, because we are not physically working in the same location (or even time zone), and document the work in our chosen task-tracker