– Good knowledge of data analytics and data science.
– Proficiency in one or more analytic software tools or languages (minimum: Python, optional: R).
– Strong understanding of data structures, algorithms, and efficient processing of large datasets.
– Awareness of applying and deploying GENAI in industrial settings.