Summary
Date Posted: Tuesday, July 23 2024, Base Salary: Not Disclosed

JOB DETAILS:
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 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.

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)



Work Hours: 8

Experience in Months: 84

Level of Education: Bachelor Degree

Job application procedure

Interested individuals should follow https://forms.office.com/e/SdfHg8kVna 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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