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Data Science Manager job at National Social Security Fund | Apply Now
Are you looking for Management Jobs in Uganda 2024? If yes, then you might be interested in Data Science Manager job at National Social Security Fund
Kampala, Uganda
Full-time
The National Social Security Fund (NSSF) Uganda is a vital government agency established to manage the retirement savings of employees in the formal sector. The fund's primary goal is to ensure that workers have a secure financial future through prudent management and investment of their savings. NSSF Uganda is dedicated to providing high-quality social security services, contributing significantly to the country's economic stability and individual financial security.
Mission and Vision
Mission:
To provide quality social security services through efficient management of member contributions.
Vision:
To be the social security provider of choice, offering reliable and sustainable financial security to all Ugandans.
Data Science Manager job at National Social Security Fund
National Social Security Fund
Job Purpose:
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.
Duties and Responsibilities include:
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 behavior/ 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.
SERVICES
COMMERCIAL
SERVICES
INDUSTRIAL
SERVICES
RESIDENTIAL
SERVICES
COMMERCIAL
SERVICES
INDUSTRIAL
SERVICES
RESIDENTIAL
SERVICES
COMMERCIAL
SERVICES
COMMERCIAL
SERVICES
COMMERCIAL
SERVICES
COMMERCIAL
SERVICES
INDUSTRIAL
SERVICES
RESIDENTIAL
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:
7 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)
APPLICATION FOR THIS POSITION MUST BE DONE ONLINE:
Interested individuals should follow the link below 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 recruitment@nssfug.org by Wednesday, 7th August 2024.
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