Business Analyst (Data Science and ML Focus)

Badger Holdings Ltd; George; On-site; ZAR 500,000 - 800,000; Full time

Job summary

A leading company in the Western Cape seeks a Business Analyst with a focus on Data Science and Machine Learning. This role involves liaising between data science teams and various business units, gathering requirements, and evaluating ML model impacts. Ideal candidates will have a strong analytical background, effective communication skills, and a degree in a related field. Experience in the financial sector is a plus.

Qualifications

• Strong capability to interpret model outputs and distill them into actionable business strategies.
• Experience in requirements gathering for data or ML projects.
• Ability to assess and articulate business value derived from ML solutions.

Responsibilities

• Act as the key liaison between data science teams and various business units.
• Gather, define, and document technical and business requirements for ML initiatives.
• Evaluate and report on the performance and impact of ML models on the business.

Skills

Communication

Stakeholder Engagement

Analytical Thinking

Education

Degree in Data Science

Degree in Computer Science

Degree in Engineering

Degree in Mathematics

Degree in Statistics

Degree in Actuarial Science

Tools

Python

R

SQL

BI tools (e.g. Power BI, Tableau, Qlik Sense)

Job description

Job title : Business Analyst (Data Science and ML Focus)

Job Location : Western Cape, George Deadline : August 17, 2025 Quick Recommended Links

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What You’ll Do :

• Act as the key liaison between data science teams and various business units.
• Gather, define, and document both technical and business requirements for ML initiatives.
• Evaluate and report on the performance and impact of ML models on the business.
• Communicate insights to non-technical stakeholders in a clear, compelling way.
• Ensure that operational teams understand and make the most of ML outputs.
• Design intuitive dashboards and reporting tools to track model KPIs and outcomes.

Requirements

What You Bring :

Essential Qualifications & Skills :

• Degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or Actuarial Science.
• Strong capability to interpret model outputs and distill them into actionable business strategies.
• Excellent communication and stakeholder engagement skills.
• Experience in requirements gathering for data or ML projects.
• Ability to assess and articulate business value derived from ML solutions.

Preferred (Not Mandatory) :

• Background in the insurance or financial services sector.
• Hands-on experience working with analytics or data science teams.
• Exposure to ML concepts and lifecycle.
• Familiarity with BI tools (e.g. Power BI, Tableau, Qlik Sense).
• Technical exposure to Python, R, SQL, or cloud platforms like Snowflake