Senior Predictive AI Data Scientist (Hybrid)

Placements24; East London; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Professional development

Flexible hybrid work

Paid time off

Access to analytics tools

Job summary

WhatJobs Direct in East London, Eastern Cape seeks an AI Data Scientist with a specialization in Predictive Analytics to build models forecasting trends, identifying opportunities, and mitigating risks across business domains.

You will work with large datasets, apply advanced statistics and machine learning, and collaborate with stakeholders to deliver actionable predictive solutions in a hybrid work environment.

Qualifications

• Master's or Ph.D. in Statistics, Data Science, CS, Mathematics, or related field.
• 4+ years as a Data Scientist with predictive modeling focus.
• Proficiency in Python or R and libraries like scikit-learn, pandas, numpy.
• Experience with ML algorithms (regression, classification, time-series, ensembles).
• Familiarity with data visualization and SQL; strong analytical and communication skills.

Responsibilities

• Develop, validate, and deploy predictive models using ML and statistics.
• Clean and prepare large datasets for analysis and modeling.
• Identify key features influencing outcomes.
• Collaborate with stakeholders to translate business problems into data science projects.
• Communicate findings clearly to technical and non-technical audiences.
• Evaluate model performance and iterate for improvement.
• Stay updated on advances in data science and predictive analytics.
• Contribute to data infrastructure and best practices; ensure data privacy.

Skills

Analytical thinking

Problem-solving

Communication skills

Education

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

Tools

Python

R

scikit-learn

pandas

numpy

SQL

Job description

WhatJobs Direct in East London, Eastern Cape seeks an AI Data Scientist with a specialization in Predictive Analytics to build models forecasting trends, identifying opportunities, and mitigating risks across business domains.

You will work with large datasets, apply advanced statistics and machine learning, and collaborate with stakeholders to deliver actionable predictive solutions in a hybrid work environment.