top of page

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

Deadline: 

7 Aug 2024

The National Social Security Fund (NSSF) is Uganda’s premier social security provider, committed to ensuring financial security for workers by offering provident fund services that promote long-term savings for retirement, sickness, and other social welfare needs. Established in 1985, NSSF has become a highly respected institution, recognized for its trustworthiness, efficiency, and significant role in the country’s financial ecosystem, with millions of Ugandans relying on its services.

The organization fosters a professional, inclusive, and collaborative work culture, offering its employees opportunities for growth, career development, and work-life balance in an environment that values integrity, innovation, and social responsibility. With a business model based on collecting contributions from employees and employers, NSSF provides a wide range of services including pension plans, medical benefits, and a variety of welfare programs, all underpinned by cutting-edge technology and strong financial management practices.

The Fund operates on a national scale, with its reach expanding to various regions across Uganda, positively impacting the lives of workers, their families, and communities. Core values such as transparency, accountability, professionalism, and service excellence guide NSSF’s operations, while its corporate social responsibility initiatives focus on promoting financial literacy, supporting education, and advancing economic empowerment programs. For more information, visit www.nssfug.org.

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.

Get a professional CV. Comes with a free cover letter
Get a Professional CV today. Comes with a free cover letter
Get a professional CV Today

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.

Related Jobs

Ultimate Interview Pack with over 50 toughest interview questions
Online Courses - Apex Accounting School
Lets help you make a CV that wins interviews. Get a professional CV today!
Greenacy
Client Success Representative job at Greenacy
10 Apr 2025
Greenacy
Copy typing jobs
bottom of page