APAC Data Science Salary Report 2020 Key Insights

APAC Data Science Salary Report

Free Download: APAC Data Science Salary Report 2020

We’ve most certainly learnt a thing or two about what makes a thorough and informative salary report since conducting our first salary survey in 2017. Our APAC Salary Report for 2020 has seen a response of more than one thousand participants which has enabled us to provide a truly data-rich and comprehensive insight on what the Data Science market currently looks like.

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

The most common industries this year has seen the loss of sectors such as Banking & Finance, Marketing & Advertising & Engineering falling outside of the top 10. Insurance has 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.

Top 10 Data Science Industries
Top 10 Data Science Industries

 

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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