Requirements:
Diploma or Bachelor's degree in Data Science, Statistics, Computer Science or a related field
2+ years of hands-on experience in data analytics or Al applications
Strong knowledge of Python/R, SQL, data visualization tools and Al techniques
Experience working on real-world data analytics or Al projects
Familiarity with databases, BI tools (Power BI/Tableau) and version control (Git)
Teaching or training experience is an added advantage