Data Scientist: Customer Value Management at MultiChoice

Purpose of the Position:

• To support the business through developing advanced analytics and predictive modelling solutions to increase revenue and reduce churn.

Key Performance Objectives
Stakeholder Management

• Work with CII to identify relevant data sources to perform meaningful customer analytics 
• Work closely with the Customer Engagement team to ensure Campaigns and offers makes business and financial sense
• Work collaboratively with various teams to ensure effective delivery of the departmental goals.

Financial Management

• Provide Analytics solutions to business to help reduce cost on Offers and Campaigns

Operational

• Provide innovative ways to support the implementation and effective execution of the strategy.
• Support with the definition and execution of offer models
• Collate customer offer information, prepare reporting and tracking of offers
• Identify opportunities that result in implementation of new campaigns and improvement of existing ones to meet business targets
• Develops, tests, implements and maintains analytical models
• Use data and advanced statistical methods to generate new business insights
• Provide behavioural insights on market research
• Assist with development and delivery of business cases
• Support with forecasting of offer management
• Offer configuration that is profitable to the business
• Assist with tailoring of offers by customer behaviour and type with associated kpi’s
• Maintain accountability and report on the success of offers
• Ensure the implementation and inclusion of offers in campaigns
• Create life cycle offers to speak to engagement, reward and optimisation of primary objectives
• Assist with management of offers within defined financial and product constraints

Qualifications Essential:

• Degree in Business and Quantitative field (Econometrics, Mathematics, Statistics, Computer Science or Similar)
   

Qualification Preferred:

• Post Grad Advantageous

Experience:

• A minimum of 3 - 5 years of relevant data experience and experience building segmentation and propensity models
• Statistical, mathematical, predictive modelling, forecasting, Campaign Analytics and business strategy skills
• Experience in building and implementation of Supervised and Unsupervised Machine Learning Algorithms to solve meaningful business problems
• Able to clearly communicate their findings, orally and visually
• Able to program in different programming languages e.g. Python, R, PySpark, SQL, etc.

Technical Competencies

• Project Management
• Cost/Budget Management
• Customer Expectation Management
• Business acumen
• Predictive Modelling
• SQL, Python, PySpark

Behavioral Competencies

• Accountability
• Teamwork
• Interpersonal Skills
• Perseverance
• Motivating
• Prioritisation
• Analytical Thinking
• Taking initiative
• Relationship Building
• Conflict Resolution
• Critical Appraisal