Statistical Data Scientist – Short-Term Insurance

Location: Johannesburg, Gauteng

*** Mention DataYoshi when applying ***

The successful candidate will be responsible for and be involved in all analytics related aspects of the management of a short-term insurer; including performance remuneration, product development, experience monitoring, process optimization, and other ad-hoc projects. This is a broad technical role that will require a passion for data science.

The role will require accountability for key processes but will be more focused on ad-hoc projects involving a range of key areas and processes of a short-term insurer. This role is ideal for a candidate with exceptional analytical and data science skills looking for an opportunity to explore the application of and grow their skills in the insurance sector.

Experience & Educational Requirements:
Degree in Actuarial Science, Statistics, Business Sciences, Business Mathematics. Other degrees or postgraduate qualifications with a statistical/modelling aspect and/or experience will be considered.
  • Actuarial candidates need to have passed all CT’s and CA1.

Experience in statistical modelling or an analytical role
Experience in Microsoft Excel, SQL
Experience in modelling software such as R and Python required
Experience in the short term insurance industry will be advantageous.

Key Duties and Responsibilities:
Data collection, verification and management
Extract insights and recommend appropriate actions through statistical modelling and data analysis
Design and build analytical solutions to meet business needs
Reporting on any analysis, modelling or solutions developed
Remuneration modelling management

The successful candidate must possess the following qualities:

A quick learner
Independent self-starter
Energetic and strong sense of urgency
Self-disciplined and self-motivated
Enthusiastic and passionate attitude to the job and company
Effective communication skills (written and verbal)
Exceptional analytical and technical skills with an interest in machine learning.
Ability to work well in a team and independently.
Financial and Business acumen
Problem-solving skills
Integrity and honesty
Passionate about data

*** Mention DataYoshi when applying ***

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