Senior AI Data Scientist — Hybrid, Impactful ML

Placements24; Gqeberha; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary & bonuses

Health & wellness

Learning & development

Hybrid work

Collaborative environment

Retirement plan

Job summary

Placements24 is seeking a Senior AI Data Scientist in Port Elizabeth to lead advanced analytics initiatives, build predictive models, and translate complex data into actionable business decisions.

You will collaborate with business units, experiment with AI solutions, and deploy models with production support, while staying abreast of new research. The role offers a hybrid work arrangement and opportunities for professional development in a supportive environment.

Qualifications

• Master's or PhD in statistics, CS, mathematics or related quantitative field.
• 5+ years of professional data science with emphasis on AI/ML model development.
• Proficiency in Python or R with ML libraries and data manipulation.
• Experience with SQL and large relational data sets; familiarity with cloud platforms.

Responsibilities

• Develop, train, and validate ML models for prediction, classification and clustering.
• Perform EDA to uncover trends and insights from large datasets.
• Design and run A/B tests and experiments to measure AI impact.
• Communicate findings to technical and non-technical stakeholders with visuals.
• Collaborate with AI Engineers to deploy models into production and monitor performance.
• Stay current with advances in data science, ML and AI research.

Skills

Python

R

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SQL

Spark

Hadoop

AWS

Azure

GCP

EDA

ML model development

Education

Master's or PhD

Job description

Placements24 is seeking a Senior AI Data Scientist in Port Elizabeth to lead advanced analytics initiatives, build predictive models, and translate complex data into actionable business decisions.

You will collaborate with business units, experiment with AI solutions, and deploy models with production support, while staying abreast of new research. The role offers a hybrid work arrangement and opportunities for professional development in a supportive environment.