Data Scientist – Actuarial Analytics for Member Value

Bestmed Medical Scheme; Gauteng; On-site; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

23 days annual leave

8-hour workday

Life cover

Disability benefits

Funeral cover

Pension fund

Medical aid

Training opportunities

Free Wi-Fi

On-site gym

Wellness programme

Job summary

Bestmed Gauteng is recruiting a Data Scientist in the Actuarial and Data Science Department to convert data into reliable analyses, models and products that drive member value and healthcare intelligence.

The role prepares and validates data, develops fit-for-purpose solutions and communicates findings for business owners. It supports the full delivery cycle from problem definition to implementation and monitoring, building reusable analytical assets under data governance.

Qualifications

• Grade 12 is required.
• A relevant degree in Data Science, Statistics, Mathematics, Computer Science, Actuarial Science or related quantitative field.
• Minimum 2 years' relevant experience in a data science role or related environment.

Responsibilities

• Clarify analytical requests with business owners, scope work and extract and analyse data.
• Develop and evaluate statistical and machine-learning solutions with baselines and tests.
• Build datasets and simulations for risk-adjusted utilisation and pricing analytics.
• Develop and maintain governed dashboards for executive reporting and client services.
• Maintain reusable datasets and analytics workflows with data lineage and governance.
• Monitor data quality and model performance; support scenario modelling and knowledge transfer.
• Deliver Helpdesk analytical work to standards, explain findings and drive adoption.

Skills

Data analysis

Statistical modelling

Education

Grade 12

Bachelor's or equivalent in Data Science / Statistics / Mathematics / CS / Actuarial Science or related quantitative field

Job description

Bestmed Gauteng is recruiting a Data Scientist in the Actuarial and Data Science Department to convert data into reliable analyses, models and products that drive member value and healthcare intelligence.

The role prepares and validates data, develops fit-for-purpose solutions and communicates findings for business owners. It supports the full delivery cycle from problem definition to implementation and monitoring, building reusable analytical assets under data governance.