Predictive Analytics Data Scientist — AI Impact & Growth

Placements24; Polokwane; On-site; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Performance bonus

Medical insurance

Retirement plan

Job summary

Placements24 seeks a Data Scientist specializing in Predictive Analytics in Polokwane, Limpopo, ZA. You will develop and deploy models forecasting trends, analyze large datasets, and collaborate with stakeholders to drive strategic decisions. Strong Python/R skills, ML techniques, and data visualization are essential.

The role offers opportunities to work on impactful projects within a collaborative, innovative environment, with a focus on continuous learning and professional growth.

Qualifications

• Must have graduate degree in a quantitative field (stats/data science/CS).
• Proven experience building predictive models and analytics solutions.
• Strong programming skills in Python or R and libraries for ML and data processing.
• Excellent communication and ability to translate analytics to business actions.

Responsibilities

• Develop, validate, and deploy predictive models for business use cases.
• Analyze large datasets to identify patterns and insights.
• Collaborate with stakeholders to align analytics with business needs.
• Data cleaning, preprocessing, and feature engineering.
• Communicate findings via visualizations and reports.
• Build and maintain data pipelines for model training and evaluation.

Skills

Programming in Python or R

Statistical modeling

Machine learning

Data mining

Data visualization

Education

Master's or PhD in Statistics/DS/CS

Tools

Pandas

NumPy

Scikit-learn

TensorFlow/PyTorch

SQL

Tableau/Matplotlib/Seaborn

Spark/Hadoop

Job description

Placements24 seeks a Data Scientist specializing in Predictive Analytics in Polokwane, Limpopo, ZA. You will develop and deploy models forecasting trends, analyze large datasets, and collaborate with stakeholders to drive strategic decisions. Strong Python/R skills, ML techniques, and data visualization are essential.

The role offers opportunities to work on impactful projects within a collaborative, innovative environment, with a focus on continuous learning and professional growth.