Job Description

Responsibilities for Internal Candidates

Key Performance Areas

Measures (KPIs for job)

Key Job Responsibilities

Tactical Implementation

Align all operational activities undertaken in the department to the BRIGHT strategy objectives Drive best practice, iterative improvement and innovation Provide recommendations to various business units and influences future plans based on insights As per business plan

Data Modelling

Research and develop custom data models and algorithms to apply to data sets Lead multiple analytic project teams by serving as the senior technical thought leader for project teams; working with various business units to translate project goals into data analytic model Build predictive and ML/AI models with high dimensional and dynamic data and conduct analysis through the project life cycle As per business plan

Data Analysis

Utilise Big Data analytics and advanced data mining techniques to analyse data specific to AI Proposition - Personalisation Code, test and maintain analytical software tools to analyse AI Proposition - Personalisation data Identify trends, patterns and discrepancies in data and determines additional data needed to support insight specific to AI Proposition - Personalisation Perform analytical tasks such as text mining and sentiment analysis from mined AI Proposition - Personalisation analysis Analyse data from company databases to drive optimisation and improvement of MTN SA's data quality and compliance Provide on-going tracking and monitoring of performance of decision systems and statistical models Analyse data to develop data-driven insights, applying analytical results to division goals, identifying trends across MTN SA and translating results into actionable recommendations As per business plan

Continuous Improvement

Develop usage and access control policies and systems in collaboration with the SM: Data Governance (Stewardship) Partner with the other data scientists in continuous improvement processes impacting data quality in the context of the specific use case Recommend ongoing improvements to methods and algorithms that lead to findings, including new information As per business plan

Collaboration / Coordination

Collaborate with various stakeholders throughout the organisation to identify opportunities for leveraging company data to drive business solutions Collaborate with other functions across the business to ensure effectiveness of analysis conducted Collaborate with other functions to drive and where applicable enhance the utilisation of models, algorithms and software that help solve business problems As per business plan

Reporting

Review and submit reports addressing periodic activity, budget compliance, feedback and key departmental results to facilitate decision making Prepare reports on operational performance and detailed reports on specific projects when required Communicate to business units the various predictions and findings through effective data visualisations and reports As per business plan


Qualifications for Internal Candidates



Job Specifications/ Minimum & Preferred Requirements


Education / Business Degree - Minimum postgraduate degree / Masters: tertiary degree in Engineering, Computer Science, Advanced Analytics, Biological Sciences or related quantitative field


Fluent in English


Work Experience


Minimum of 5 years' experience in a data science environment coupled with supervising / managing others


Experience working in a medium to large organisation


Worked across diverse cultures and geographies advantages


Training


Data science and advanced analytics


Programming skills


Computer software training


Robotic process automation solutions (UiPath, Blue Prism, NICE etc.)


Data Visualisation (tools such as Power BI, Tableau etc.)


Public GIT and Kaggle profiles a major plus


Industry / Certifications


Relevant certification / accreditation


Any other specifications


Attitude of Innovation, inventiveness and thought leadership


MS Office (Word, Excel, and Outlook)


Understanding of the MTN framework


Worked across diverse cultures and geographies


Knowledge of modern Big Data platforms and Open Source Solutions