🔶 A bachelor's or master's degree in engineering, data science, or a related field.
🔶 Completion of additional certifications or courses in data science, analytics, or machine learning (e.g., certification in Power BI, R programming, or AI technologies).
Roles & Responsibilities:
🔶 Deploy classroom and practical training aligned to industry requirements in Data Science and Analytics
🔶 Ensure relevant student enrolment and engagement in training program with excellent quality standards.
🔶 Ability to facilitate the in-house technical training curriculum in classrooms and deliver the quantitative modules to students.
Key Skills:
🔶 In-depth subject and practical knowledge of programming languages such as R, Python
🔶 Proficient knowledge in spreadsheet tools, data visualisation, predictive analytics, and machine learning algorithms
🔶 Excellent communication and presentation skills.
🔶 Excellent quantitative analytical skills
🔶 Experience in Databases like SQL,Mongo DB,Cassendra,spark and Hadoop
🔶 Certification in data science or related areas is a plus.