Tugende Data Scientist I Jobs in Uganda

Tugende Data Scientist I Jobs in Uganda; This role is best suited for individuals who are hungry to learn, open to mentorship, and serious about building a career in applied data science. You will be challenged, but also fully supported, in your journey from foundation to impact.

1 Key responsibilities

1.1 Data Management and Engineering Support

▪ Contribute to the ongoing structuring, cleaning, validation, and optimisation of Tugende’s enterprise data in the Redshift-based Data Warehouse.

▪ Develop and maintain reusable SQL queries and data pipelines to support analytics and reporting needs.

1.2 Reporting and Dashboard Development

▪ Build and update interactive Power BI dashboards to monitor operational, financial, and credit KPIs.

▪ Automate and publish reports for month-end performance, credit risk, recovery ops, and marketing KPIs.

1.3 Machine Learning & Model Development

▪ Contribute/support to model development for:

o Credit scoring and provisioning

o Fraud detection and revenue leakage prevention

o Asset repossession prediction and asset financing behaviour modelling

o GPS geostatistics for asset tracking and client safety#

▪ Participate in the deployment of ML pipelines using:

o Assist in packaging and deploying models using containerization tools such as Docker.

o Contribute to lifecycle tracking with MLFlow (or similar tools) for versioning and performance monitoring.

o Support infrastructure deployment via AWS services such as EC2, Lambda, S3, and CloudWatch, under guidance from senior team members.

▪ Ensure models are monitored and versioned appropriately for ongoing learning and improvement.

1.4 Operations Research & Optimisation

▪ Assist in the development of optimisation models to:

o Allocate assets and staff across branches

o Plan vehicle or asset maintenance and rotation

o Optimise cost-performance trade-offs in recovery and servicing

o Portfolio, revenue and risk projection Stress Testing

▪ Apply a range of OR tools and libraries (e.g., pyomo, scipy, optimise, pulp) depending on problem structure and complexity.

1.5 Generative AI & Automation Initiatives

▪ Assist in the implementation of AI Agents for:

o Underwriting and risk assessment

o Plate detection/image validation for vehicles and bikes

o Internal knowledge base querying (LLM-powered policy agents)

o Chatbots for client servicing and operations support

▪ Support senior engineers in model monitoring and maintenance

1.6 Documentation & Collaboration

▪ Document all models, pipelines, and tools using clear technical documentation standards.

▪ Work closely with business teams to understand pain points and build tailored data solutions
.
▪ Assist in preparing and delivering presentations and reports to senior leadership using PowerPoint, dashboards, or interactive notebooks.

▪ Participate in internal data literacy initiatives to empower end users across departments.

2 Qualifications

2.1 Minimum Requirements

▪ Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, Economics or related field.

▪ 0–2 years of experience in a data science, analytics, or software engineering role (internships or academic projects accepted)

▪ Relevant coursework or certifications in machine learning, data analysis, or data engineering is an added advantage.

▪ Proficiency in Python and core data science libraries: pandas, numpy, matplotlib, scikit-learn

▪ Intermediate to strong SQL skills

▪ Exposure to Power BI or other BI tools for dashboard creation

▪ Strong Excel skills and basic experience in dashboard/report automation

2.2 Preferred but Not Required

▪ Understanding of data structures, feature engineering, and model evaluation

▪ Redshift/PostgreSQL preferred

▪ Familiarity with at least one optimisation library (e.g. pyomo, pulp)

▪ Docker, MLFlow, and AWS tools

▪ Background in asset financing, lending, or fintech is a bonus

2.3 Soft Skills & Mindset

▪ Fast learner with a strong sense of accountability

▪ Ability to thrive under mentorship and feedback

▪ Strong attention to detail and a data-driven mindset

▪ Willingness to work in a competitive, high-expectation team culture

▪ Passionate about using data to solve real-world problems


How to Apply

For more information and job application details, see; Tugende Data Scientist I Jobs in Uganda

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