Data science is an umbrella term for fields that use large quantity of data to derive actionable insight.
There several roles in data science
- Data scientist
- Data analyst
- Data Business analyst
- Data engineer
- Data Stewards etc
Today employer demands for specialist data skill consistently increase across wide range of industries. A study in 2021 reveal that between 2013 and 2018 Job advert for data analyst and Advance data specialist increased by 231% globally.
Taking UK as a case study, a research counducted by Opininum Research found that out of 1045 UK businesses 48% are recruiting for roles requiring data skills
A research conducted in 2020 by Ipsos Mori shows that 62% of 118 companies participated in the survey could not meet their yearly goal because of job applicants and existing staff lacked the skills needed to work with AI.
In 2021 UK government estimated that the supply of data specialist by universities is unlikely to be more than 10,000 and yet their about 215,000 data role to be filled while it is about 308,000 in the US
In 2023 survey conducted by The World Economic Forum of 803 global companies, it was found that AI & Machine Learning Specialist and Data analyst and Scientiest were in the top 10 Job roles expected to grow fastest between 2023-2027.
THE SUMMIT IS SET TO ANSWER THE FOLLOWING QUESTIONS:
Who are these data experts?
What are the subtle distinctions between their roles?
What are the skillsets that firms are looking for?
How do you become in demand?
What is their approach to issue solving?
Why not join us @Data Intell Summit23 and refer others to address this questions together and unlock the mystery locked in data.