Highest Paying Countries in Need of Data Scientists 2022

Highest Paying Countries in Need of Data Scientists

The demand for data scientists has seen a gradual and steady increase in recent years. All over the world, companies and organizations are utilizing data science in their businesses and economic activities. Hence, the increased demand.

The result of the high demand for data scientists is the numerous job opportunities opened to experts in data science and even freshers. This high demand is also the reason for the competitive and skyrocketing salary packages. 

As the demand for data scientists increases, there remains a frequently asked question, which is,  how much are data scientists being paid? So, if you are still contemplating on whether to become a data scientist, probably because you are unsure of the available opportunities, this article will clear your doubts and help you get started.

What is Data Science?

Data Science is a field of mathematics and computer which aims to derive insights from unrelated data with the help of specific algorithms and machine learning. A person who is well knowledgeable in data science is known as a data scientist.

A good data scientist knows everything about the collection of data, data conversion, exploratory analysis on data, and applying the needed machine learning algorithms to produce a workable model.

As a data scientist, you’re bound to make a lot of money. This is because data scientists are well sought-after and are paid huge salaries. While the profession is generally paid well, certain factors determine your pay. These factors are:

  1. Geographical location.
  2. Purchasing power.
  3. Your level as a data scientist. Seniors in data science tends to be paid higher than the freshers.
  4. Exchange rate.

In this article, we will talk about how you can become a certified data scientist, the highest paying countries in need of data scientists, and other available opportunities in the data science field.

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How to Become a Certified Data Scientist

Data is an indispensable part of businesses and Industries. Data scientists make use of data to provide useful insights into customer behavior. This information helps companies grow their businesses in the right direction.

So, if you are someone who can solve complex problems or you have good critical thinking skills, you might want to consider a career in data science.

To make it easy for you to pursue a career in data science, we have listed below simple steps you can take to become a data scientist. With this skill, you can choose to seek employment in any of the highest-paying countries in need of data scientists.

Step 1:

Firstly, learn a programming language by taking courses. This will give you a foundation to build your career in data science. You can pick between the two most popular programming languages ( Python and Java) to learn from. 

Step 2:

Master statistics. All you need here is a basic understanding of statistics which will help you extract information from data.

Step 3:

Master technical skills like mathematics, programming, statistics. These skills can be learned on learning platforms like Coursera, LinkedIn, etc.

Step 4:

Build a portfolio. Your portfolio will help you keep records of your projects, dataset, codes. Also, it will showcase your data science skills to employers which will help you get a data science job.

Step 5:

Get your certification. Most of these e-learning websites give out certificates to their students at the end of their learning. Although, you need to get a certain percentage in the examination for you to be certified as a data scientist.

Step 6:

Prepare your data science resume/CV. As you know, your resume is your first contact with your employer. And so, it can bring lots of opportunities if it is well written.

Get in contact with a CV writing expert!

Step 7:

Lastly, prepare for your data Science job interview.

Highest Paying Countries in Need of Data Scientists 2022

We have uncovered the highest paying countries in need of data scientists in 2022. 

1. United States

Average Annual Salary – $165,000

Reportedly, the US is one of the highest-paying countries for data scientists. At entry-level, the median base salaries start at $95,000. Once one gets over 9 years of experience, it rises to $165,000. Also, those who can get managerial positions get paid between $145,000 – $250,000 annually.

2. Switzerland 

Average Annual Salary – $140,000

During the early years of their careers, Swiss data scientists get paid an average salary of $113,500. Once they attain a senior level, it rises to an average of $130,000 a year. Chief data scientists can make an average of $48,000 a year.

3. UK 

Average Annual Salary – $120,000

In the UK, a data scientist with limited experience can expect to make an average of £61,000. Once they attain over 10 years of experience, they can make an average of £90,000 annually.

4. Australia 

Average Annual Salary – $124,000

After the rise of the digital economy, Australian data scientists’ salaries rose to an average of $170,000 with some businesses offering over $200,000 annually.

5. Israel 

Average Annual Salary – $119,300

Nobody could have predicted that Israel would become a major IT centre, with a surplus of career opportunities for both novice and seasoned data scientists. Data scientists in Israel make an average of 31,000 NIS per month which translates to 372,000 NIS annually.

6. Norway 

Salary – $111,000

Norwegian data scientists based in Oslo make an average of 965,000 NOK annually.

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7. China

Average Annual Salary – $98,169

The estimated salary for a data scientist is $98,169 per year in China.

8. Canada 

Average Annual Salary -$95,000

According to data gathered by Stack Overflow, data scientists’ salaries range from CA$69,000 to – CA$120,000 annually based on level of experience.

9. India

Average Annual Salary – $93,680

In India, the average salary for a data scientist is $93,680 per year. With less than a year of experience, an entry-level data scientist can make approximately $89,480 per year. Data scientists with 1 to 4 years of experience may expect to earn about $109,310 per year.

10. Belgium 

Average Annual Salary – $90,000

A data scientist based in Brussels should expect to be paid between €50,000 – €80,000 annually depending on various factors.

11. Netherland 

Average Annual Salary – $89,000

At the start of their careers, a Dutch data scientist can expect to make €64,000 a year. Also, this rises to €78,300 a year once they attain over 10 years of work experience.

12. Germany 

Average Annual Salary – $88,000

German data scientists are paid an average of €71,000 a year during the early years of their careers. Also, this rises to €77,108 a year during the later years.

Other Highest Paying Countries in Need of Data Scientists 2022

  1. France {Salary – $86,399}
  2. South Africa {Salary – $54,329}
  3. Russia {Salary – $39,150}
  4. Singapore {Salary – $38,514}
  5. Indonesia {Salary – $37,981}

Other Opportunities in Data Science Field that Pays Well

There are other great opportunities still in the field of data science. Just like the data scientists, these careers make room for more opportunities. Similarly, since data is the heart of the data science field, various roles revolving around data are there to pursue. You can pursue a degree in:

  1. Machine learning science
  2. Data analysis.
  3. Business intelligence analyst.
  4. Data engineer.
  5. Data architect and many more.

Read Also: Data Analyst Jobs in Germany with Visa Sponsorship


This is not an exhaustive list of careers in the data science field. As the world is gradually going digital, more and more companies are understanding the value of data. Hence, they will need skilled professionals who can understand data and help them grow their businesses. Starting a career in data science is a good advantage for you now and in the later future.

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Nnamdi Chinonso

Content Lead at Fasthire. "I enjoy writing on Career, Business, Education, and Finance. These areas allow me to communicate in the interest of the young elites, thereby helping them make clever decisions as they go through life's course".


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