Data Scientist - Insurance

Sabenza IT & Recruitment; Sandton; On-site; ZAR 600 000 - 800 000; Full time

Job summary

A leading recruitment firm in South Africa is looking for a skilled Data Scientist to leverage data for strategic insights within the insurance industry. The ideal candidate should possess a bachelor's degree and 3–5 years of relevant experience, proficient in Python, SQL, and R. You will play a pivotal role in transforming datasets into valuable insights and collaborate effectively within teams, driving analytics to impact business decisions.

Qualifications

• 3–5 years' experience in data science, data warehousing, or modelling.
• Insurance industry experience (Non-Life or Life) is essential.
• Strong knowledge of statistics, machine learning principles, and predictive modelling.

Responsibilities

• Transform raw datasets into actionable business insights.
• Analyse complex datasets while maintaining data integrity.
• Collaborate across teams to communicate analytics impact.

Skills

Data analysis

Communication skills

Self-organisation

Collaboration

Education

Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or Actuarial Science

Tools

Python

SQL

R

Azure

Spark

Job description

We’re Hiring: Data Scientist – Unlock the Power of Data in the Insurance World!

Are you the kind of Data Scientist who doesn’t just analyse data… but creates intelligence?

Do you see patterns where others see noise?

Do you love transforming raw, messy datasets into business-changing insights?

If you’re ready to join a forward-thinking organisation where your work directly impacts strategy, operations, and innovation — this role is for you.

And here’s the exciting part: we’re specifically looking for someone with hands‑on experience in the insurance sector (Life or Non‑Life) who understands how data truly drives value in a complex, regulated environment.

What You Bring

• Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or Actuarial Science
• 3–5 years’ experience in data science, data warehousing, or modelling
• Insurance industry experience (Non-Life or Life) is essential
• Strong knowledge of statistics, machine learning principles, and predictive modelling
• Fluency in Python, SQL, and R
• Experience with Azure, Spark, data modelling, and version control is beneficial
• Ability to analyse complex datasets and maintain high levels of data integrity
• Excellent communication skills — able to translate analytics into business impact
• Ability to self-organise, work independently, and collaborate across team