Data Scientist; Intermediate

Data Scientist (Intermediate)

• Honours degree (or higher) in statistics, actuarial sciences, computer science (or equivalent, relevant qualification)
• Knowledge of statistical packages (R, SAS, SPSS, Python etc.)
• Knowledge of BI reporting tools (Power BI, Tableau, Qlik View)
• Experience in statistical and machine learning modelling techniques
• High level of computer literacy (advanced MS-Excel and SQL)
• 2+ years of work experience as a Data Analyst, Quantitative Analyst or Data Scientist

Responsibilities:

• Perform analyses, provide insights, and build predictive models that will assist with sales, distribution,and general marketing analytics.
• Expand the suite of automated analytical/KPI reports used by clients of the Marketing Data Science Hub team (relating to lead volumes, call centre metrics, campaign performance etc.).
• Be an enabler of performance marketing, i.e. perform analyses, provide insights, and build predictive models that will assist with:
• Client segmentation and ideal client identification.
• Development and implementation of targeted marketing strategies.
• Optimisation of call centre operations.
• Source and provide customised data to the business.
• Guide business stakeholders in what data to extract.
• Improve processes and databases where opportunities arise.
• Interpret and disseminate information via reports and publications.