Data Scientist: Customer Value Management

The MultiChoice Group is a multinational media and entertainment group headquartered in South Africa, Dubai and the Netherlands with principal operations in pay television, video entertainment, advertising and content security. Brands within the Group include DStv, GOtv, SuperSport, M-Net, DStv Media Sales, Showmax and European-based content security leader Irdeto. We’re proud to say we serve 20 million subscribers across more than 50 African markets, with a successful history of identifying and adapting to industry trends, allowing us to continuously deliver the best in entertainment. Key areas of operations are:

• Storytelling ranging from content creation, production and aggregation including the best global general entertainment, sport and eminent African content library, delivered to customers
• Pay Television: direct-to-home satellite and digital terrestrial television services;
• SVOD: subscription video on demand services across multiple online platforms with a focus on library and local content in developing markets, and
• Advertising: providing dynamic media solutions; handling commercial airtime, on-air sponsorships, content integration, and online sales across a variety of 130+ channel brands on linear TV, VOD, social media, and digital platforms.

The group’s strength lies in its focus on local language and culture, its entrepreneurial spirit and the quality of its workforce. MultiChoice Group has a successful history of identifying trends early, adapting them for the markets in which it operates and leveraging them to maximum advantage. The group generates revenues primarily through subscription model, with a growing contribution from advertising revenue. Its key objectives are to:

• Expand Pay TV, SVOD subscriber base and Advertising sales
• Focus on investment and technology
• Maintain a local approach
• Provide quality service
• Attract innovative and motivated employees

Join Africa’s most loved storyteller!

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

• 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.

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

• 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

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

• Post Grad Advantageous

• 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.

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

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