AI Data Scientist: Predictive Modeling & ML Solutions

Placements24; Vereeniging; Hybrid; ZAR 600,000 - 1,000,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Retirement plan

Learning & development

Team culture

Job summary

Placements24 is seeking a talented Data Scientist specializing in AI to join its analytics team in Vereeniging. You will extract insights from complex datasets, build predictive models, and design AI-driven solutions that improve business performance.

The role requires strong statistical expertise, programming skills, and experience with ML techniques. You will collaborate with business stakeholders and engineers to deploy impactful data products and drive data-informed decisions.

Qualifications

• Master’s or PhD in Statistics, Data Science, Computer Science, or related quantitative field.
• 3+ years of experience as a Data Scientist with a strong focus on AI/ML.
• Proficiency in Python or R, including libraries like pandas, scikit-learn, TensorFlow, or PyTorch.

Responsibilities

• Develop and implement machine learning models for predictive analytics, classification, and forecasting.
• Perform data mining, cleaning, and feature engineering on large, complex datasets.
• Design and conduct experiments to test hypotheses and evaluate model performance.
• Communicate complex findings and recommendations to technical and non-technical audiences.
• Collaborate with software engineers to deploy models into production environments.
• Stay current with the latest advancements in data science and artificial intelligence.

Skills

Python

R

SQL

Machine Learning

Data Mining

TensorFlow

PyTorch

Education

Master's or PhD

Tools

pandas

scikit-learn

TensorFlow

PyTorch

Job description

Placements24 is seeking a talented Data Scientist specializing in AI to join its analytics team in Vereeniging. You will extract insights from complex datasets, build predictive models, and design AI-driven solutions that improve business performance.

The role requires strong statistical expertise, programming skills, and experience with ML techniques. You will collaborate with business stakeholders and engineers to deploy impactful data products and drive data-informed decisions.