Senior Data Scientist - AI Specialization

Placements24; Sandton; Hybrid; ZAR 1.000.000 - 1.800.000; Vollzeit

Benefits dieser Stelle

Salary + Bonus

Health & Retirement

PTO & Development

Cutting-edge Tools

Hybrid Work

High-Profile Projects

Collaborative Culture

Zusammenfassung

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.

Qualifikationen

• 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).

Aufgaben

• 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.

Kenntnisse

Python

R

Statistical modeling

Machine learning

Deep learning

Data visualization

Communication

Mentoring

Hybrid work

Ausbildung

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

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Jobbeschreibung

About the Role

Our client, a prestigious financial services firm, is seeking an experienced Senior Data Scientist with a specialization in AI to join their innovative team in **Sandton, Gauteng**. This role will focus on developing and implementing advanced machine learning models to drive strategic decision-making and enhance customer experiences. You will tackle complex business problems using large datasets, leveraging cutting-edge AI techniques. The ideal candidate possesses strong analytical skills, deep expertise in statistical modeling and machine learning, and a proven ability to deliver actionable insights. This is an exceptional opportunity to contribute to a leading organization in **Sandton, Gauteng**, working on high-impact AI projects.

Key Responsibilities

• Develop, train, and deploy sophisticated machine learning models for various business applications.
• Analyze large, complex datasets to identify trends, patterns, and insights.
• Collaborate with business stakeholders to define analytical requirements and objectives.
• Communicate findings and recommendations clearly through reports and presentations.
• Design and conduct A/B tests and other experiments to validate model performance.
• Mentor junior data scientists and contribute to the team's technical growth.
• Stay abreast of the latest advancements in data science, AI, and machine learning.
• Ensure data quality and integrity throughout the analytical process.

Requirements

• Master's or Ph.D. in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• 5+ years of experience as a Data Scientist, with a strong focus on AI/ML model development.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
• Expertise in deep learning frameworks (TensorFlow, PyTorch) is highly desirable.
• Strong understanding of statistical modeling, hypothesis testing, and experimental design.
• Experience with data visualization tools and techniques.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work effectively in a hybrid environment.
• Experience within the Sandton, Gauteng financial sector is a significant advantage.

Benefits

• Competitive salary and bonus structure.
• Comprehensive health and retirement benefits.
• Generous paid time off and professional development opportunities.
• Access to cutting-edge data and analytics tools.
• Hybrid work model offering flexibility and work-life balance.
• Opportunity to work on high-profile projects with significant business impact.
• Collaborative and intellectually stimulating work environment.