Actuarial Lead, Data Science & ML Analytics

Datafin

Wes-Kaap

On-site

ZAR 600,000 - 900,000

Full time

14 days+

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Job summary

A leading analytics firm in South Africa is looking for an experienced Actuarial Business Analyst focused on Machine Learning. This role requires leading a team of Data Scientists to develop and implement analytical solutions, while translating complex data insights into actionable business strategies. Candidates should have at least 7 years of experience in the insurance sector, a strong background in statistical modeling, and proficiency in BI tools. This position offers an opportunity to drive innovation and enhance business outcomes.

Qualifications

  • Minimum 7 years experience in the Insurance or Financial Services sector.
  • Proven experience in developing statistical and/or Machine Learning models.
  • Demonstrated ability to assess and articulate the business impact of Machine Learning models.

Responsibilities

  • Lead and mentor a team of Data Scientists.
  • Oversee the development and deployment of Machine Learning models.
  • Serve as primary liaison between Data Science and business stakeholders.
  • Gather and document business and technical requirements for Data Science projects.
  • Champion best practices in analytics and modelling.

Skills

Machine Learning development
Leadership
Statistical modeling
Data analysis
Business impact assessment
BI tools proficiency

Education

Degree or Honours in Actuarial Science

Tools

Power BI
Qlik Sense
Tableau
Python
R
SQL

Job description

A leading analytics firm in South Africa is looking for an experienced Actuarial Business Analyst focused on Machine Learning. This role requires leading a team of Data Scientists to develop and implement analytical solutions, while translating complex data insights into actionable business strategies. Candidates should have at least 7 years of experience in the insurance sector, a strong background in statistical modeling, and proficiency in BI tools. This position offers an opportunity to drive innovation and enhance business outcomes.
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