Senior AI Data Scientist

Placements24; Gqeberha; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary & bonuses

Health & wellness

Learning & development

Hybrid work

Collaborative environment

Retirement plan

Job summary

Placements24 is seeking a Senior AI Data Scientist in Port Elizabeth to lead advanced analytics initiatives, build predictive models, and translate complex data into actionable business decisions.

You will collaborate with business units, experiment with AI solutions, and deploy models with production support, while staying abreast of new research. The role offers a hybrid work arrangement and opportunities for professional development in a supportive environment.

Qualifications

• Master's or PhD in statistics, CS, mathematics or related quantitative field.
• 5+ years of professional data science with emphasis on AI/ML model development.
• Proficiency in Python or R with ML libraries and data manipulation.
• Experience with SQL and large relational data sets; familiarity with cloud platforms.

Responsibilities

• Develop, train, and validate ML models for prediction, classification and clustering.
• Perform EDA to uncover trends and insights from large datasets.
• Design and run A/B tests and experiments to measure AI impact.
• Communicate findings to technical and non-technical stakeholders with visuals.
• Collaborate with AI Engineers to deploy models into production and monitor performance.
• Stay current with advances in data science, ML and AI research.

Skills

Python

R

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SQL

Spark

Hadoop

AWS

Azure

GCP

EDA

ML model development

Education

Master's or PhD

Job description

About the Role

Our client is seeking a highly analytical and experienced Senior AI Data Scientist to join their growing team in Port Elizabeth . In this role, you will leverage advanced statistical and machine learning techniques to extract insights from complex datasets, build predictive models, and drive data-informed decision-making. You will collaborate closely with business units to understand their challenges, identify opportunities for AI-driven solutions, and deliver actionable recommendations. This position offers the chance to work on impactful projects, contributing to the strategic direction of the company through sophisticated data analysis and AI implementation within a supportive and innovative environment.

Key Responsibilities

• Develop, train, and validate advanced machine learning models for prediction, classification, and clustering tasks.
• Conduct exploratory data analysis (EDA) to uncover trends, patterns, and insights from large, complex datasets.
• Design and implement A/B tests and other experiments to measure the impact of AI solutions.
• Communicate findings and recommendations clearly and effectively to both technical and non-technical stakeholders through visualizations and reports.
• Collaborate with AI Engineers to deploy models into production environments and monitor their performance.
• Stay current with the latest advancements in data science, machine learning, and AI research.

Requirements

• Master's or PhD in Statistics, Computer Science, Mathematics, or a related quantitative field.
• 5+ years of professional experience in data science, with a strong focus on AI/ML model development.
• Proficiency in Python or R, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• Experience with SQL and working with large datasets in relational databases.
• Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Strong analytical, problem-solving, and communication skills.

Benefits

• Competitive salary with annual performance reviews and bonuses.
• Comprehensive health and wellness benefits package.
• Opportunities for continuous learning and professional development, including access to conferences and training.
• A flexible hybrid work arrangement supporting work-life balance in Port Elizabeth .
• Collaborative team environment with a focus on innovation and data-driven insights.
• Retirement savings plan.