Responsibilities

• Leverage data and advanced analytic approaches to generate, meaningful and actionable insights for the CRM team to drive Customer Lifetime Value (CLV)
• Identify, develop, and optimise customer segments which can be actioned upon based on insights and the requirements of the CRM team
• With the support of in-souse data science manager develop, implement, and optimise predictive modelling and personalization algorithms to optimize customer experience and drive CLV 
• Automate monthly customer segmentation runs
• Automate reports on the ongoing performance of CRM across the Client, specifically in the context of Customer Value
• Conduct ad-hoc analyses and present results in a clear manner to the CRM teams

Requirements

• Bachelor’s degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, or a field of similar quantitative nature 
• 1-2  years of experience manipulating large data sets, building statistical models, and generating actionable insights from these data & analyses using Amazon Sagemaker and Amazon Athena
• Experience leveraging statistical programming languages R and/or Python for analyses (with in-depth knowledge of at least one) 
• Experience with data visualization tools, such as Tableau, Power BI, ggplot; 
• Experience in working with Aws data stack
• Proficiency in SQL