AI Specialist - Data Analysis & Insights

About the Role

Our client is seeking a dedicated AI Specialist with a strong focus on Data Analysis and Insights to join their growing team in Soweto . In this role, you will be responsible for leveraging AI and machine learning techniques to analyze complex datasets, uncover actionable insights, and drive data-informed decision-making across the organization. You will work closely with various business units to understand their data challenges and provide intelligent solutions. This position offers a fantastic opportunity to apply your analytical skills and AI expertise to real-world business problems in a supportive environment in Soweto .

Key Responsibilities

• Utilize AI/ML tools and techniques to analyze large, complex datasets and identify trends.
• Develop dashboards and reports to visualize data insights and communicate findings to stakeholders.
• Build predictive models to forecast business outcomes and identify key drivers.
• Collaborate with business teams to understand their analytical needs and provide data-driven recommendations.
• Ensure data quality and integrity throughout the analysis process.
• Stay current with advancements in data science, AI, and business intelligence tools.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related quantitative field.
• 2+ years of experience in data analysis, with a strong understanding of AI/ML concepts.
• Proficiency in data analysis tools and programming languages such as Python or R.
• Experience with data visualization tools (e.g., Tableau, Power BI) and SQL.
• Familiarity with machine learning algorithms for classification, regression, and clustering.
• Strong analytical and problem-solving skills, with excellent communication abilities.

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunities for professional development and skill enhancement.
• Collaborative team atmosphere and supportive management in Soweto .
• Exposure to diverse business challenges and impactful AI projects.
• Contribution to data-driven innovation within the company.

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