Senior AI/ML Data Scientist – Industrial Analytics (Hybrid)

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Hybrid work model

Professional development

Work with HPC resources

Job summary

Placements24 is seeking a Senior Data Scientist in Richards Bay, KwaZulu-Natal, to design, develop, and deploy advanced AI and ML solutions for predictive analytics and optimization of industrial processes. You will work with large datasets, build end-to-end data pipelines, mentor juniors, and communicate insights to stakeholders.

The role offers a hybrid work model and opportunities for research and development. The ideal candidate holds a Ph.D.

Qualifications

• Ph.D. or Master’s degree in a quantitative field.
• 5+ years of data science experience with AI/ML focus.
• Proficiency in Python or R and ML libraries.
• Experience with big data tools (Spark/Hadoop).
• Strong communication and problem-solving skills.
• Knowledge of cloud ML services is a plus.

Responsibilities

• Design, develop, and implement ML models and AI algorithms for predictive analytics and anomaly detection.
• Clean, preprocess, and analyze large datasets from industrial sources.
• Collaborate with engineers and domain experts to define project requirements.
• Develop and maintain data pipelines and model deployment strategies.
• Evaluate model performance and iterate to production deployment.
• Stay updated with AI/ML advancements and communicate findings to stakeholders.
• Mentor junior data scientists and contribute to team growth.
• Develop and implement A/B testing frameworks for model evaluation.
• Contribute to the company’s data strategy and innovation roadmap.

Skills

Python

R

Data analysis

Communication

Critical thinking

Education

Ph.D. or Master’s in a quantitative field

Tools

scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Spark

Hadoop

AWS

Azure

GCP

Job description

Placements24 is seeking a Senior Data Scientist in Richards Bay, KwaZulu-Natal, to design, develop, and deploy advanced AI and ML solutions for predictive analytics and optimization of industrial processes. You will work with large datasets, build end-to-end data pipelines, mentor juniors, and communicate insights to stakeholders.

The role offers a hybrid work model and opportunities for research and development. The ideal candidate holds a Ph.D.