Data Scientist

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profile Job Location:

Johannesburg - South Africa

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Were Hiring: Data Scientist Unlock the Power of Data in the Insurance World!

Are you the kind of Data Scientist who doesnt 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 youre ready to join a forward-thinking organisation where your work directly impacts strategy operations and innovation this role is for you.

And heres the exciting part: were 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

  • Bachelors degree in Computer Science Mathematics Statistics Engineering or Actuarial Science

  • 35 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




Required Skills:

Python SQL R JavaScript Spark Power BI

Were Hiring: Data Scientist Unlock the Power of Data in the Insurance World!Are you the kind of Data Scientist who doesnt just analyse data but creates intelligenceDo you see patterns where others see noiseDo you love transforming raw messy datasets into business-changing insightsIf youre ready to ...
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Company Industry

IT Services and IT Consulting

Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills