Data scientist
Summary
Builds pricing and predictive models for insurance using Python, SQL, and ML techniques like GLM and CatBoost, then translates insights into business decisions for a large insurer.
If you are a skilled and experienced Data Scientist who thrives in the dynamic environments of banking and insurance, possesses advanced technical skills in Python and SQL, and can effectively communicate complex findings to business stakeholders, we invite you to apply. Join this large direct insurance company, and contribute to shaping the future of data‑driven decision‑making in the financial industry.
Requirements:Qualifications: Computer Science or Actuarial Science
Level: We are looking for intermediate (3 - 5 years) and senior technical specialist levels (4 years+)
Some demonstrated expertise in one or all of these techniques:
Insurance Pricing Models Generalised Linear Regression Models Machine Learning CAT Boost Models Duties and Responsibilities: Develop and implement advanced data models for insurance and banking applications Construct and optimize pricing models for insurance products Utilize Generalised Linear Regression and Machine Learning CAT Boost Models for predictive analysis Collaborate with cross‑functional teams to gather and interpret data requirements Translate complex findings into actionable business recommendations Construct and present insightful Power Point presentations Confidently engage with and present findings to senior stakeholdersWork Model: Hybrid
Location: Johannesburg
If you are interested, please don't delay – submit your CV today #J-18808-Ljbffr