Senior AI Data Scientist - Hybrid, Sandton, ML Leader

Placements24; Sandton; Hybrid; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Salary + Bonus

Health & Retirement

PTO & Development

Cutting-edge Tools

Hybrid Work

High-Profile Projects

Collaborative Culture

Job summary

Placements24 in Sandton, Gauteng, seeks a Senior Data Scientist specializing in AI to develop and deploy advanced ML models, driving strategic decisions and enhanced customer experiences. You will tackle complex problems using large datasets and modern AI techniques.

The role requires leadership in statistical modeling, deep learning, and collaboration with business stakeholders, with a hybrid work setup in a premier financial services environment.

Qualifications

• Master's or PhD in a quantitative field is required.
• 5+ years of experience as a Data Scientist with AI/ML focus.
• Proficiency in Python or R and libraries (Pandas, NumPy, Scikit-learn).

Responsibilities

• Develop, train, and deploy machine learning models for business applications.
• Analyze large datasets to identify trends and insights.
• Collaborate with stakeholders to define analytical requirements and objectives.
• Communicate findings through reports and presentations.
• Design and conduct experiments to validate model performance.
• Mentor junior data scientists and contribute to team growth.
• Stay updated on AI/ML advancements and data science trends.
• Ensure data quality and integrity throughout analyses.

Skills

Python

R

Statistical modeling

Machine learning

Deep learning

Data visualization

Communication

Mentoring

Hybrid work

Education

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

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Job description

Placements24 in Sandton, Gauteng, seeks a Senior Data Scientist specializing in AI to develop and deploy advanced ML models, driving strategic decisions and enhanced customer experiences. You will tackle complex problems using large datasets and modern AI techniques.

The role requires leadership in statistical modeling, deep learning, and collaboration with business stakeholders, with a hybrid work setup in a premier financial services environment.