Actuarial Business Analyst - Data Science and Machine Learning Lead

Badger Holdings Inc; George; On-site; ZAR 500,000 - 750,000; Full time

Job summary

A leading insurance company in George is seeking an Actuarial Business Analyst to lead a team of Data Scientists in building impactful machine learning models. The ideal candidate will have extensive experience in data analytics and team management, fostering a culture of collaboration and continuous improvement. This full-time position offers a key role in translating complex analytics into actionable insights across the organization.

Qualifications

• 5+ years of experience in data analytics or actuarial analysis.
• Strong knowledge of machine learning techniques.
• Experience leading teams and managing projects.

Responsibilities

• Manage and mentor a team of Data Scientists.
• Oversee the creation and deployment of machine learning models.
• Ensure model outputs are effectively adopted by operational teams.

Skills

Team management

Data analytics

Machine learning

Communication

Business strategy

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.

What You’ll Do

• Manage, mentor, and grow a team of Data Scientists into a powerhouse of delivery.
• Build a culture where experimentation, collaboration, and results thrive.
• 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.
• 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.
• Gather, refine, and document requirements for analytics projects.
• Push for best practices, smarter modelling approaches, and continuous process improvement.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Research, Analyst, and Information Technology

Industry

• Insurance