Actuarial Business Analyst - Data Science and Machine Learning Lead

Badger Holdings Inc; Wes-Kaap; On-site; ZAR 200 000 - 300 000; Full time

Job summary

A leading analytics company in South Africa is seeking an Actuarial Business Analyst to lead a team of Data Scientists in building impactful machine learning models. The ideal candidate will manage and mentor the team, oversee model deployment, and ensure effective communication of analytics insights to decision-makers. This role requires strong leadership, technical expertise, and the ability to bridge the gap between data and business needs. Join a dynamic environment where your skills can make a real difference.

Qualifications

• Experience leading analytics teams and building machine learning models.
• Ability to bridge technical expertise with commercial impact.
• Strong communication skills to translate complex analytics.

Responsibilities

• Manage, mentor, and grow a team of Data Scientists.
• Oversee the creation and deployment of machine learning models.
• Communicate the commercial impact of analytics solutions.
• Document requirements for analytics projects and push for continuous improvement.

Skills

Team leadership

Data science

Machine learning

Communication

Analytical thinking

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.