CLM Data Scientist

Job Description

Summary

Support and implement Customer Value Management initiatives, campaigns, and projects for Consumer within the Marketing environment. Develop predictive models and measure customer retention and life cycle management programs / campaigns through multiple channels. Increase customer value, reduce churn and increase loyalty across all the products and services thru advanced segmentation and Machine learning optimizations

Main Responsibilities:

  • Drive development of predictive & Propensity models (eg Churn Prediction model, Next Best Action model, Affinity modelling…) to leverage existing information assets for optimal marketing activity
  • Track CVM activities performance & execution on daily basis (uptake, revenues) against roadmap
  • Designing and developing analytical models and their optimization
  • Build business cases for new developments and promotional CVM campaign portfolio
  • Drive analytics to come up with new ideas for promotions and campaigns to change the current behaviour by ensuring usage uplift and upgrading packages.
  • Work closely with the CMS vendor, BI and IT team to develop effective reporting capabilities and processes for customer value campaigns
  • Interpret the customer base marketing strategy to identify, plan and implement / build the analytical capabilities required to deliver the CVM base management strategy.
  • Drive the ROI of base management activity through ensuring the provision and continuous improvement of actionable insights, analyses, CVM reports and dashboards and propensity models.
  • Lead the definition, build and management of customer base management business rules for outbound and inbound customer contact activity based on the customer contact strategy.
  • Accountable for control group approach and adherences to defined contact strategy and ensure that CVM output can be measured and to be reported upon.
  • Manage delivery of insight for the customer base to the rest of the business, including actionable value- and needs-based segmentation and predictive models, linked with competitor intelligence and market research.
  • Contribute to the monthly reporting process and output destined for senior and executive management

Personal Specification

  • Bachelor’s degree preferably in Statistics and Business computing
  • 2 years relevant position in CVM marketing
  • At least 2 years’ experience in advanced statistical modelling in the marketing environment.
  • Relevant experience in Telecom
  • Hands-on experience with multi-channel campaign management tool
  • Highly effective with statistical applications such as SPSS, SAS, R…
  • Statistical modeling and multivariate analysis
  • Segmentation techniques, scoring techniques, Data mining and predictive analytics
  • Data Quality analysis
  • Actual practice of AI-ML (Machine Learning) optimizations
  • Reporting and performance analysis
  • Proficient with MS Office application especially Excel and Power Point
  • Agile and able to meet strict deadlines

Employer

Sector

Telecommunications

Function

Marketing

Country

Job Level

Associate

Salary

Competitive