Indian Graduates Excel in AI/ML Roles, Reveals Mercer Study
A recent study conducted by skill assessment platform Mercer | Mettl has shed light on the employability prospects of Indian graduates in AI/ML (Artificial Intelligence/Machine Learning)-related roles. The study, titled India’s Graduate Skill Index 2023, reveals that nearly half of all graduates in India exploring career opportunities in AI/ML roles are job-ready, showcasing a significant talent pool capable of meeting the growing demand in this cutting-edge field.
According to the study, Indian graduates exhibit an impressive employability rate of 48% in AI/ML roles, indicating a strong foundation in the required skills and knowledge for these positions. This statistic highlights the importance of encouraging graduates to pursue and acquire AI-related skills, given the growing demand for talent in this area.
The study also unveils some distinct variations in the employability prospects between tech and non-tech skills among Indian graduates. For tech skills, Applied Mathematics stands out with an impressive employability rate of 72%, followed by Data Science (57%), MySQL (57%), and Oracle SQL (54%).
When it comes to sought-after roles, Indian graduates demonstrate the highest employability in AI/ML roles at 48%. The employability rate for Backend Development, Data Science, Data Analysis, and QA Automation roles stands at 39%.
Moving on to non-tech roles, the study identifies the Financial Analyst role as having an employability rate of 45%, closely followed by Human Resources Associate at 44%. Business Analysts exhibit a similar employability rate of 45%, while Project Manager roles have an employability rate of 39%. On the other hand, Sales and Business Development roles present the lowest employability at 37%.
Interestingly, the study reveals that the employability of graduates in emerging job roles such as Backend Developer, Data Scientist, Data Analyst, and QA Automation shows a similar employability range across different tiers of colleges. This suggests that learners from various colleges have equal opportunities to acquire these skill sets, potentially through self-learning and access to online courses.
Siddhartha Gupta, CEO of Mercer | Mettl, emphasized the importance of a nimble-footed approach in response to the rapidly changing job landscape. He highlighted the need for an open mindset and readiness to upskill and re-skill as per changing demands. Gupta believes that an industry-academia collaboration to address existing gaps is crucial in creating job-ready graduates.
The study’s findings call on employers and educational institutions to bridge skills gaps and equip India’s emerging workforce for future demands. By embracing these opportunities in a rapidly changing job landscape, stakeholders can make informed hiring decisions and empower graduates to align their skill sets with industry demands, ensuring a successful transition from education to the workforce.
In conclusion, Mercer | Mettl’s study showcases the impressive employability prospects of Indian graduates in AI/ML roles, indicating a significant talent pool capable of meeting the demand in this field. The findings underscore the importance of encouraging graduates to acquire AI-related skills and knowledge, highlighting the promising career opportunities in this cutting-edge domain. Employers and educational institutions have been urged to bridge skills gaps and equip India’s emerging workforce for future demands, ensuring a smooth transition into the dynamic job market of the future.
