Data Science Manager Sandton, Johannesburg

Create and lead a multi-discipline team focused on the implementation of the big data environment Construction of mathematical models and doing predictive work using traditional statistics, machine learning, etc Identify uses for and implement machine learning technics Involvement in ad-hoc projects BSc or similar, Newly qualified or nearly qualified Minimum 4-6 years’ experience, Experience in project management Experience in the Life Industry is preferable Strong modelling and programming knowledge SAS / SQL / Qlickview / R / Python essential Experience with using actuarial modeling software such as Basys, Prophet or Moses as will count in the candidate’s favour Experience with machine learning algorithms is preferable Create and lead a multi-discipline team focused on the implementation of the big data environment Construction of mathematical models and doing predictive work using traditional statistics, machine learning, etc Identify uses for and implement machine learning technics Involvement in ad-hoc projects BSc or similar, Newly qualified or nearly qualified Minimum 4-6 years’ experience, Experience in project management Experience in the Life Industry is preferable Strong modelling and programming knowledge SAS / SQL / Qlickview / R / Python essential Experience with using actuarial modeling software such as Basys, Prophet or Moses as will count in the candidate’s favour Experience with machine learning algorithms is preferable Strong attention to detail Good problem solving and analytical skills Excellent communication and Excel skills Motivated and a team player.

BSc or similar, Newly qualified or nearly qualified Minimum 4-6 years’ experience, Experience in project management Experience in the Life Industry is preferable Strong modelling and programming knowledge SAS / SQL / Qlickview / R / Python essential Experience with using actuarial modeling software such as Basys, Prophet or Moses as will count in the candidate’s favour Experience with machine learning algorithms is preferable Strong attention to detail Good problem solving and analytical skills Excellent communication and Excel skills Motivated and a team player.