Actuarial Business Analyst - Data Science and Machine Learning Lead

Badger Holdings (Pty) Ltd; Wes-Kaap; On-site; ZAR 500 000 - 800 000; Full time

Job summary

A leading analytics firm in Cape Town seeks an Actuarial Business Analyst to lead a Data Science team. You'll oversee the development of machine learning models to drive business value, ensuring projects align with corporate strategies. Ideal candidates will have experience in data science, machine learning, and effective communication across teams.

Qualifications

• Proven experience in leading Data Science projects.
• Strong understanding of Machine Learning applications in business.
• Ability to bridge technical and business requirements effectively.

Responsibilities

• Lead and inspire a team of Data Scientists.
• Oversee creation, testing, and deployment of machine learning models.
• Translate complex analytics into actionable insights.
• Document requirements for analytics projects.

Skills

Data Science

Machine Learning

Team Leadership

Analytical Communication

Project Management

Job description

Overview

Actuarial Business Analyst – Data Science and Machine Learning Lead at Badger Holdings Inc. Based in Cape Town, Western Cape, South Africa. You will lead a team of Data Scientists to build machine learning models that move the needle, acting as translator, strategist, and impact-driver to ensure models deliver measurable value and are understood from boardroom to operations floor.

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.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Research, Analyst, and Information Technology
• Industries
• Insurance