Data Scientist - AI Specialization

Placements24; Rustenburg; Hybrid; ZAR 600,000 - 1,000,000; Full time

Benefits offered by this job

Competitive salary

Bonus structure

Advanced analytics tools

Professional certifications

Medical aid

Retirement fund

Collaborative culture

Job summary

Placements24 in Rustenburg is seeking a highly analytical Data Scientist with AI specialization to extract insights from complex datasets and develop predictive models. You will implement AI-driven solutions, contribute to strategic initiatives, and communicate findings to stakeholders.

The role requires a strong statistical background, programming proficiency (Python or R), and experience with ML frameworks; strong SQL skills and excellent communication are essential.

Qualifications

• Master's degree or PhD in Data Science, Statistics, Computer Science, or related field.
• 3–5 years hands-on experience as a Data Scientist with a focus on AI and machine learning.
• Proficiency in Python or R and libraries (Pandas, NumPy, SciPy).
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with SQL and database management.
• Excellent communication and presentation skills.

Responsibilities

• Analyze large, complex datasets to identify trends, patterns, and actionable insights for business objectives.
• Develop, train, and validate ML models for classification, regression, clustering, and anomaly detection.
• Design and run data-driven experiments to test hypotheses and measure AI impact.
• Collaborate with engineering teams to deploy ML models into production.
• Visualize and communicate findings clearly to technical and non-technical audiences.
• Ensure ethical and responsible use of data and AI methodologies.

Skills

Python

R

SQL

Communications

Education

Master's degree or PhD in Data Science / Statistics / CS

Tools

Pandas

NumPy

SciPy

TensorFlow

PyTorch

Scikit-learn

Job description

About the Role

Our client in Rustenburg is looking for a highly analytical and technically skilled Data Scientist with a specialization in AI to join their innovative team. You will be responsible for extracting insights from complex datasets, developing predictive models, and implementing AI-driven solutions that enhance business operations and decision-making. This position requires a blend of statistical expertise, programming proficiency, and a deep understanding of machine learning techniques. You will play a key role in uncovering patterns, building data products, and communicating findings to stakeholders, contributing directly to strategic initiatives.

Key Responsibilities

• Analyze large, complex datasets to identify trends, patterns, and actionable insights relevant to business objectives.
• Develop, train, and validate machine learning models for tasks such as classification, regression, clustering, and anomaly detection.
• Design and implement data-driven experiments to test hypotheses and measure the impact of AI solutions.
• Collaborate with engineering teams to deploy machine learning models into production environments.
• Visualize and communicate complex findings and recommendations clearly to technical and non-technical audiences.
• Ensure the ethical and responsible use of data and AI methodologies throughout projects.

Requirements

• Master's degree or Ph.D. in Data Science, Statistics, Computer Science, or a related field.
• 3-5 years of hands‑on experience as a Data Scientist with a focus on AI and machine learning.
• Strong proficiency in programming languages like Python or R, and experience with relevant data science libraries (e.g., Pandas, NumPy, SciPy).
• Demonstrated experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with SQL and database management systems.
• Excellent communication and presentation skills.

Benefits

• Competitive salary and attractive bonus structure.
• Access to advanced analytics tools and datasets in Rustenburg .
• Opportunities for continuous learning and professional certifications.
• Comprehensive medical aid and retirement fund.
• A dynamic and collaborative work culture that encourages innovation.