AI/ML Data Scientist (Hybrid) Driving Insights & Models

Placements24; Stellenbosch; Hybrid; ZAR 700,000 - 1,200,000; Full time

Benefits offered by this job

Salary and performance bonus

Hybrid work model

Medical and retirement benefits

Access to analytics tools

Stimulating tech environment

Job summary

Placements24 in Stellenbosch seeks a Data Scientist focused on AI/ML to turn large datasets into actionable insights and predictive models. You will collaborate with engineering to deploy ML solutions and influence product decisions.

The role offers a hybrid work approach, access to advanced analytics tools, and a stimulating tech environment in the Western Cape. You will design experiments, validate models, and communicate findings to stakeholders across the business.

Qualifications

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
• Proven experience in data science with a strong emphasis on machine learning techniques.
• Proficiency in Python or R, and relevant libraries (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch).

Responsibilities

• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Develop, validate, and deploy machine learning models for various applications (prediction, classification, clustering).
• Collaborate with engineering teams to integrate ML models into production systems.
• Design and conduct experiments to test hypotheses and measure model impact.
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

Skills

Machine learning

Data analysis

Python

R

SQL

Model deployment

Communication

Education

Master's or PhD in Statistics, CS, Mathematics or related quantitative field

Tools

Pandas

Scikit-learn

TensorFlow

PyTorch

SQL databases

Job description

Placements24 in Stellenbosch seeks a Data Scientist focused on AI/ML to turn large datasets into actionable insights and predictive models. You will collaborate with engineering to deploy ML solutions and influence product decisions.

The role offers a hybrid work approach, access to advanced analytics tools, and a stimulating tech environment in the Western Cape. You will design experiments, validate models, and communicate findings to stakeholders across the business.