Talent Shortage in data science and AI Jobs
By MYBRANDBOOK
As the industry is moving towards emerging technologies, that shows out of 10 lakh registered organizations in India, 75% have invested or are planning to invest in Data Science and Machine Learning. A survey predicts that 75% have invested or are going to invest in machine learning and data science. Data science is reshaping the job market through fierce competition between companies for top talent.
While the demand for data sciences, AIand Machine Learning is increasing across myriad industries, the supply of expertise is not keeping pace leading to delays in project and product deliveries and impacting the business transformation. Many of the clients depend on our ready pool of trained resources on In-demand skills available to join at short notice.
More than 30,000 jobs in data science and machine learning are lying vacant due to shortage of qualified talent. Our flexibility of engagement options from permanent to short-term and long-term contracts has helped CIO leaders plan their project deliveries on-time and on-budget. “India lacks massively when it comes to talent in data science, machine learning and artificial intelligence, with more and more jobs increasingly becoming data-driven, the need of the hour is for professionals to upskill themselves to stay relevant.
The primary reason for the demand supply gap, is that the kind of projects companies are implementing require a higher order of data skills that do not exist. “What people learn in colleges is not in sync with what is being used in industry and most of these individuals passed out a while back. Now a lot of things are getting automated; newer opportunities are coming up. That is where there is a dearth of talent.
Skills in cloud, big data analytics, machine learning and AI are going to be critical for data science professionals to land the available jobs, said the study that covered 28,000 people in 3,000 organisations across the country. The highest number of job searches are observed in SQL programming language, Python is the fastest-growing due to the greater support of machine learning libraries, the Great Learning report said. Secondly, other important sectors are Data scientist, data analyst, data architect, data statistician, ML (machine learning) engineer, ML specialist, technical architect and data engineer are some of the most popular roles available, it said.
The report also highlights the growing scope of data science in non-traditional sectors. Opportunities in non-traditional sectors like aviation, cybersecurity, agriculture, healthcare and driverless transportation are set to soar by 2020.
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