Senior Manager: Data Scientist Consumer at MTN

JOB DESCRIPTION

• Collaborate with stakeholders to identify and define business problems that can be solved using data-driven approaches.
• Perform exploratory data analysis to gain insights, identify patterns, and detect anomalies.
• Develop and implement statistical and machine learning models to solve complex business problems.
• Utilize advanced analytical techniques to uncover trends, correlations, and causality in the data.
• Build and deploy predictive models to forecast outcomes, make recommendations, and optimize business processes.
• Collaborate with technical teams and developers to integrate data science solutions into production systems.
• Communicate findings, insights, and recommendations to both technical and non-technical stakeholders through reports, presentations, and visualizations.

RESPONSIBILITIES
Key Activities &Responsibilities

Strategy

• Owner of the Consumer Data Science, Vision and Mission to align the department for MTN SA and Group delivery.
• Data Science Leadership
• Support the consumer department with deep insights , attribution analysis and predictive forecasting models.
• Alignment of pricing team, to help with predictive pricing models and conjoint analysis
• Alert stakeholders to potential opportunities and risks relating to MTN SA.
• Mentor and provide guidance to junior data scientists, as needed.
• Coordinate the analytics across the Consumer function and ensures that product and segment strategies all support the envisaged Consumer objectives.
• Review and analyse profitability reports to indicate the margins expected for sales. This includes modelling of marginal based pricing structures in order to understand the impact of network capacity requirements associated with highly competitive pricing structures.
• Extensive collaboration and integration will be required with the product and solution development team as well as the Consumer segment and customer experience team in arriving at the final GTM proposition. This will require extensive work at the strategic level, platform and technology level as well as the design level.
• Manages internal stakeholders who contribute to or can influence the Consumer business’ planning (e.g. Customer Experience and Risk)
• Drive the execution and implementation of operational plans, initiating corrective actions where necessary.
• Ensure that operational plans and models comply with processes and procedures across MTNSA.
• Consider and drive best practice, continuous improvement and innovation at process and procedure level.
• Construct, implement and fine-tune methods, processes and systems to enhance effectiveness and meet goals.
• Define, implement and maintain Consumer Customer Segmentation which will foster targeted strategies for
• Consumer, Sales and Distribution, Technology and Customer Care.

QUALIFICATIONS
Education

• Minimum of 4 year tertiary qualification

Experience

• Minimum 10 years experience including:
• Senior management track record of 5 years or more,with at least 3 years in relevant sector/industry.
• Proven experience as a Data Scientist or in a similar role, with a strong understanding of statistical concepts and machine learning algorithms.
• Strong knowledge of SQL and experience working with relational databases.
• Familiarity with big data technologies such as Hadoop, Spark, or Hive is a plus.
• Excellent problem-solving skills, with the ability to think critically and approach complex challenges in a structured manner