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Actuarial Business Analyst - Data Science and Machine Learning Lead

Badger Holdings Inc

Wes-Kaap

On-site

ZAR 600 000 - 800 000

Full time

Yesterday
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Job summary

A leading analytics firm is seeking an Actuarial Business Analyst to lead a team of Data Scientists focused on developing impactful machine learning models. This role involves managing the analytics team, overseeing model deployment, and translating technical data insights into actionable business strategies. The ideal candidate will have strong leadership and communication skills, along with expertise in data analysis and machine learning.

Qualifications

  • Proven ability to lead and mentor a team of Data Scientists.
  • Strong expertise in building and deploying machine learning models.
  • Ability to translate complex data into actionable insights.

Responsibilities

  • Manage and grow a team of Data Scientists.
  • Oversee the deployment of machine learning models.
  • Act as liaison between data science and business teams.

Skills

Team management
Machine learning expertise
Data analysis
Communication skills
Job description
Overview

Actuarial Business Analyst – Data Science and Machine Learning Lead

George, Western Cape | Badger Holdings SA

At Badger Holdings, we don’t just crunch numbers, we turn them into business game-changers. We’re on the hunt for an Actuarial Business Analyst who can lead a team of Data Scientists to build machine learning models that move the needle. You’ll be the translator, the strategist, and the impact-driver, making sure every model delivers measurable value and is understood from boardroom to operations floor. If you can bridge deep technical expertise with commercial impact and lead a high-performance analytics team, this is your seat at the table.

What You’ll Do

Lead & Inspire

  • Manage, mentor, and grow a team of Data Scientists into a powerhouse of delivery.
  • Build a culture where experimentation, collaboration, and results thrive.

Design & Deliver

  • Oversee the creation, testing, and deployment of machine learning models that solve real business problems.
  • Measure, quantify, and communicate the commercial impact of analytics solutions.
  • Keep models relevant, accurate, and laser-focused on business goals.

Bridge Tech & Business

  • Be the go-to liaison between data science and decision-makers.
  • Translate complex analytics into plain, actionable English
  • Ensure operational teams adopt and use model outputs effectively.

Drive Excellence

  • Gather, refine, and document requirements for analytics projects.
  • Push for best practices, smarter modelling approaches, and continuous process improvement.
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