Specialist - Data Scientist Fintech CEO's Office at MTN

JOB DESCRIPTION

Mission/ Core purpose of the Job: 

• To determine insights from large quantities of structured and unstructured data to shape or meet specific business needs and goals. 

RESPONSIBILITIES

Key Performance Areas: 

Assist Tactical Implementation

• Assist with driving best practice, iterative improvement and innovation
•  Work with team leads to provide recommendations to various business units and influences future plans based on insights

Data Modelling

• Research and develop custom data models and algorithms to apply to data sets
• Work as part of multiple analytic project teams by serving as a specialist for project teams; working with various business units to translate project goals into data analytic model
• Build predictive and data mining models with high dimensional and dynamic data and conduct analysis through the project life cycle

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

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

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

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 visualizations and reports

QUALIFICATIONS

Job Requirements (Education, Experience and Competencies)

Education: (5)

• Minimum of 3-year tertiary degree in Engineering, Computer Science, Advanced Analytics, mathematics, geophysics, or related quantitative fields
• Fluent in English 

Experience: (5)

• Minimum of 1 - 2 years’ experience in a data science environment 
• Experience working in a medium to large organisation 
• Worked across diverse cultures and geographies advantages

Training:

• Data science and advanced analytics
• Programming skills (SAS, Python, SQL, C++, etc)
• Computer software training
• Robotic process automation solutions (UiPath, Blue Prism, NICE etc.)
• Data Visualisation (tools such as Power BI, Tableau etc.)
• Data Science Workbenches (GCP, AWS, Azure, etc)
• ArcGIS, QGIS, MapInfo, Public GIT and Kaggle profiles a major plus