APAC Data Science Salary Report 2020 Key Insights
Our APAC Salary Report for 2020 is our most data-rich yet with over 1000 participants. Professionals of all backgrounds, ages and locations took part, but the largest share of contributions this year were from Singapore and Australia. Because these were our greatest data points, these countries were the primary focus for us in this report.
The top countries to provide responses to our survey during 2019 came from Singapore, India, Australia and China. Similar to previous years, the vast majority of responses have been working as Data Scientists, however, we are starting to see a greater variation in roles. 20% of respondents were Machine Learning Engineers and Data Engineers.
Are Tech-Startups The Preferred Environment?
Of all respondents working within all industries across Singapore, 64% of people do not currently work for a start-up company. Despite this, the data science market remains open-minded, with 82% stating they would consider joining one in the future.
The respondents that currently work in start-up industries are primarily Technology/IT and Consulting (38%). Respondents from these two industries are also respectively the majority that would consider working for a start-up in the future (38%).
The Top 10 Data Science Industries
This year the top 10 industry list saw the loss of sectors such as Banking & Finance, Marketing & Advertising & Engineering. Insurance made its way onto the map this year, with people working in energy failing to make an appearance in the top 10 for 2020. Consulting has moved up the ranks from 3rd to 2nd most popular industry to work for, with Technology/IT holding onto the top spot for the 3rd consecutive year.
The Most Popular Coding Languages
The most popular modelling coding language used by 75% of respondents is unsurprisingly Python. This is a 10% increase on our 2019 survey. 8% use R, 4% use Java and 2% use Matlab. There were also 5% of respondents that said they don’t code.
74% of respondents said their primary production coding language is also Python. 3% use C++, as well as 8% using Java or not coding at all. 3% use Scala.
There were also 2% of use cases for SQL in modelling and 1% of use cases for C++.
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