Actuarial Business Analyst - Data Science and Machine Learning Lead

Badger Holdings Inc; Wes-Kaap; On-site; ZAR 600 000 - 800 000; Full time

Job summary

A leading analytics firm in South Africa seeks an Actuarial Business Analyst to lead a team of Data Scientists. This role involves overseeing the development of machine learning models, communicating their value across all organizational levels, and ensuring their effective adoption by operational teams. Ideal candidates will have a strong blend of technical expertise and commercial acumen.

Qualifications

• Deep technical expertise in data science and analytics.
• Ability to lead and mentor a team of Data Scientists.
• Strong communication skills to bridge technical and non-technical stakeholders.

Responsibilities

• Manage, mentor, and grow a team of Data Scientists.
• Oversee the creation, testing, and deployment of machine learning models.
• Translate complex analytics into actionable insights.

Job description

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.