Do you see patterns where others see noise?
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.
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
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