AI Data Scientist - Predictive Analytics for Industrial Ops

Placements24; Mtubatuba Local Municipality; On-site; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary with annual bonuses

Health insurance

Pension plan

Professional development and training

Exposure to cutting-edge AI projects

Job summary

Placements24 is seeking an AI Data Scientist for our Richards Bay team to uncover insights from large datasets, build predictive models, and drive data-informed decisions. You will work on challenging AI projects in an industrial setting, applying statistical and ML expertise to optimize operations and unlock opportunities.

The role emphasizes modeling, experimentation, and collaboration with engineers to deploy solutions in production while staying current with AI advances.

Qualifications

• Advanced degree in a quantitative field or equivalent research background.
• Proven experience as a Data Scientist with ML and statistical modeling.
• Programming proficiency in Python or R and data handling libraries.

Responsibilities

• Analyze large, complex datasets to identify trends, patterns, and insights.
• Develop, train, and evaluate ML models for forecasting, classification, and anomaly detection.
• Design experiments to test hypotheses and measure AI solution impact.
• Communicate findings clearly to technical and non-technical stakeholders.
• Collaborate with engineers to deploy models into production environments.
• Stay current with advancements in data science and AI methodologies.

Skills

Python

R

Pandas

NumPy

SQL

Big data (Spark/Hadoop)

Cloud platforms

Education

Master's or Ph.D. in Statistics, Computer Science, Mathematics, or related quantitative field

Tools

Pandas

NumPy

Spark

Hadoop

Cloud platforms

Job description

Placements24 is seeking an AI Data Scientist for our Richards Bay team to uncover insights from large datasets, build predictive models, and drive data-informed decisions. You will work on challenging AI projects in an industrial setting, applying statistical and ML expertise to optimize operations and unlock opportunities.

The role emphasizes modeling, experimentation, and collaboration with engineers to deploy solutions in production while staying current with AI advances.