Predictive Modeler

Network Recruitment; Johannesburg; On-site; ZAR 500,000 - 800,000; Full time

Job summary

A leading company in financial services seeks a Predictive Modeler to build and validate models that shape customer outcomes. The role requires collaboration with teams to derive actionable insights from data, fostering a data-driven culture. Candidates should have a background in statistics and proficiency in programming languages like Python or R.

Qualifications

• 2–4+ years in predictive modeling or data science.
• Experience using machine learning libraries.
• Ability to translate complex data into business insights.

Responsibilities

• Build, test, and validate predictive models.
• Collaborate with data engineers and business teams.
• Monitor and maintain models for accuracy.

Skills

Predictive modeling

Data science

Statistical techniques

Machine learning

Data wrangling

Performance metrics

Education

Bachelor’s or Honours degree in Statistics

Mathematics

Actuarial Science

Computer Science

Tools

Python

R

SAS

SQL

Job description

We’re Hiring: Predictive Modeler | Sandton | Hybrid

Join a data-driven environment where your work will directly shape customer and business outcomes across financial services, collections, and customer engagement.

Role Highlights:

• Build, test, and validate predictive models (credit risk, churn, payment behavior).
• Apply statistical techniques and machine learning to large datasets.
• Translate complex data into clear, actionable insights for business stakeholders.
• Collaborate with data engineers, BI analysts, and business teams to solve real business problems.
• Monitor and maintain models to ensure ongoing accuracy and relevance.
• Stay up to date with industry best practices in modeling and data science.

Requirements:

• Bachelor’s or Honours degree in Statistics, Mathematics, Actuarial Science, Computer Science, or related field.
• 2–4+ years in predictive modeling or data science.
• Proficiency in Python, R, SAS, or SQL, with experience using machine learning libraries and statistical techniques (e.g., logistic regression, decision trees, clustering, XGBoost).
• Ability to translate complex data findings into clear business insights.
• Solid data wrangling, model validation, and performance metric skills.

Preferred:

• Experience in financial services, collections, or customer analytics.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and model deployment frameworks.
• Strong communication and stakeholder engagement skills.
• A proactive mindset with a willingness to challenge assumptions.

If you are curious, collaborative, and eager to drive impact through data, we would love to connect with you.

How to Apply:

If you meet the above requirements, please send your resume DIRECTLY to: [e-mail]

For more finance jobs, please visit our website: www.networkrecruitmentinternational.com

If there is no reply within two weeks, please assume that your application for the vacancy was unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.

We also invite you to reach out to us to discuss your next finance career opportunity!