Graduate Data Scientist: Impactful Ml & Analytics

Placements24; South Africa; On-site; ZAR 300,000 - 420,000; Full time

Job summary

Placements24 in George, Western Cape invites a bright Graduate Data Scientist to join a forward-thinking tech team. You will work with large datasets, build models, and translate insights into actions that support our strategic goals.

Ideal candidates have a quantitative background, a passion for ML, and strong communication to stakeholders. The role offers growth in a culture of learning and innovation, with exposure to data-driven solutions across sectors.

Responsibilities

• Collect, clean, and preprocess large and diverse datasets.
• Develop and implement statistical models and machine learning algorithms to identify trends and patterns.
• Analyze data to extract actionable insights and provide recommendations to stakeholders.
• Design and conduct experiments to test hypotheses and validate findings.
• Visualize data and communicate complex findings in a clear and concise manner.
• Collaborate with engineering and product teams to integrate data science solutions.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.

Job description

About the Role

A leading technology innovation company based in the picturesque coastal city of George, Western Cape, is actively seeking a highly motivated and intellectually curious Graduate Data Scientist. This role is designed for individuals with a strong quantitative background and a passion for unlocking insights from complex datasets. You will be part of a forward-thinking team dedicated to developing cutting-edge data-driven solutions that impact various sectors. This is an unparalleled opportunity for a recent graduate to apply theoretical knowledge in a practical, impactful setting, contributing directly to the company's strategic objectives. Our client fosters a culture of continuous learning and innovation, providing extensive support for professional growth and skill development in the dynamic field of data science.

Key Responsibilities

• Collect, clean, and preprocess large and diverse datasets.
• Develop and implement statistical models and machine learning algorithms to identify trends and patterns.
• Analyze data to extract actionable insights and provide recommendations to stakeholders.
• Design and conduct experiments to test hypotheses and validate findings.
• Visualize data and communicate complex findings in a clear and concise manner.
• Collaborate with engineering and product teams to integrate data science solutions.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
• Contribute to the development of data-driven