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BI Advanced Analytics is a young and dynamic team within Telenets BI Organisation. This group of data scientists have translated this responsibility into their mission statement :
Get value out of data through statistical analysis in order to have significant impact on decisions ànd to drive operational processes and products with analytical output
To achieve these ambitions, Telenet is continuously setting up projects and R&D initiatives in order to make value driven predictive models, segmentations and machine learning algorithms.
Some of the projects that we are working on
Marketing : Optimize all sales & value driven customer contacts in the entire customer lifecycle with sales, uplift, upgrade & downgrade, churn and win-
back models to define the next best offer; calculate VOD recommendations on Telenets TV Content Platforms
Care : We strive to personalize care contacts by fitting the most appropriate advisor and give him / her the right information to (pro-
actively) solve all problems of the customer (next best treatment); introduce text mining to get better customer feedback
Customer Experience : ACE (Amazing Customer Experience) is a key objective for the entire organization. Data Science can help by estimating NPS (Net Promotor Score) for the entire customer base and finding root causes for detractors and / or promotors
Pro-active Network & Customer Repair : Pro-actively identify customer & network issues and bring them towards the work floor to ensure all improvement opportunities are tackled.
Network Optimization : Geographical statistical analyses to integrate Telenet and Base
Why should you join us?
Innovation Telenet is known for its drive towards innovation. We consider Big Data & Data Science key in re-inventing products, customer service and marketing approach.
Team We are a young, dynamic and result-driven team with an ideal mix of business&communication, statistical and programming skills where cooperation and initiative are really valued.
Data The previous and the following years, significant investments have been / will be done in a corporate data warehouse’ and a usage data lake’.
Therefore petabytes of structured and unstructured data are there to be explored (Network data, product usage, CRM data, on line data, market research, ).
Personal development Together with you, we will make a personal development plan to enable your and our future objectives
Who are we looking for?