Data Scientist (Intermediate) Honours degree (or higher) in statistics, actuarial sciences, computer science (or equivalent, relevantqualification) 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 predictivemodels that will assi...