Data Scientist

Business Segment: Insurance & Asset Management
Location: ZA, GP, Roodepoort, Ellis Street 4
To support Pricing Head and COO with the following:
Predicting Modelling: Identify and Assess service providers performance and efficiencies and recommend service providers' management strategy solution.Driving efficiencies by developing and Implementing: 1)Dynamic write-off models, 2) Fraud Detection models, 3)Claimsfast tracking models, 4) Salvage and Recoveries models, 5)Develop and implement monitoring reports for the COO and other operational models. Qualifications 3-year BSc with Actuarial / Mathematics / Statistics majorsHonours will be an added advantageMinimum 3 years of Data Analytics, Machine Learning Models modellingMinimum 3-5 years of financial service or analytics experienceAdvanced Experience in SAS, SQL, Python, R and Other general coding skills and will be advantagesExperience of any visualisation platforms such Power BI, Qlik-view and other general platforms will be an advantageKnowledge of variety of machine learning techniques (Clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Additional Information Analytical thinking abilitiesCommunication skills – excellent written, verbal and presentation skillsDisciplined and have high level of integrity, professionalism, respect andSelf-motivated and positive attitudeTeam playerBusiness AcumenUnderstanding of short-insurance business principles.Data mining skills, data visualisation and interpretationExperience in machine learning algorithmsExperience in pricing will be an advantage
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