Job Title: Data Science Manager
Organisation: National Social Security Fund (NSSF)
Duty Station: Kampala, Uganda
Reports to: Senior Manager Transformation
About Organisation:
National Social Security Fund (NSSF) is positioning itself as the Social Security Provider of Choice in Uganda. With our shared purpose of being the Social Security Provider of choice, providing exceptional customer service and better operations with a well-motivated and skilled workforce, we are looking to recruit persons with high integrity and dedication to work with us.
Job Summary: The Data Science Manager will be responsible for overseeing the execution of enterprise data science frameworks consistent with the organization’s goals. In addition, developing and implementing data science models to solve high-impact business use cases and creating data-driven solutions to improve efficiency.
Key Duties and Responsibilities:
- Developing and executing detailed prescriptive and predictive analysis including advanced mathematical modelling, artificial intelligence and machine learning modelling, monitoring business issues and impact on customers.
- Lead the team to identify, build and implement scalable data-driven models to high-impact business use cases.
- Responsible for communicating analytics model behaviour/ results to business.
- AI / ML Integration within Business processes to create new experiences and/or reimagine old processes.
- Responsible for carrying out technical risk analysis and reliability assessments.
- Apply a strong understanding of data science techniques and libraries to business problems.
- Build department-wide data science frameworks and capabilities through brokering access to data sources and providing upskilling opportunities.
- Foster cross-functional team collaboration to acquire holistic input/domain knowledge required to build high-impact data science models in the context of the specific use cases.
- Facilitate desired productivity and quality performance from team and stakeholders, based on defined KPIs as set by management teams across the department.
- Provide oversight of data science teams involved in agile scrum teams.
- Provide leadership and coaching to the team to enhance high performance.
Qualifications, Skills and Experience:
Education Requirements:
- A Bachelor’s degree in Computer Science, Software Engineering, Information Technology related field or numeracy-based.
- A professional qualification in Microsoft Certified: Azure Data Scientist Associate, IBM Data Science Professional Certificate or related field.
Work Experience:
- Seven years of working experience in data analysis or data management with 3 years at a managerial level.
Key Competences:
- Commitment & Integrity
- Proactivity & Innovation
- Getting Work Done
- Relationship Building
- Communicating and Influencing
- Resilience & Resourcefulness
- Thinking and Problem Analysis
- Research and investigation (Advanced)
- Business process and project management (Advanced)
- Risk and control (Intermediate)
- Data collection and analysis (Advanced)
- Problem-solving tools and techniques (Advanced)
- Computer-aided auditing techniques (Advanced)
How to Apply:
All Interested individuals should Click Here to fill out the application form and also send copies of their application letter, curriculum vitae and academic qualifications, addressed to the Chief of People and Culture to [email protected]
NB: Women are encouraged to apply. Please note that canvassing or lobbying will lead to automatic disqualification of the candidate and that providing minimal information or not attaching the required documentation may lead to the disposition of your candidature due to insufficient information provided.
Deadline: 7th August 2024
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