Highest Paying Countries in Need of Data Scientists 2024

Highest Paying Countries in Need of Data Scientists

Are you looking for the highest paying countries in need of Data Scientists? We have the answers you seek. 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.

As a result of the increased in demand for data scientists in many companies, there has been an increase in the number of job opportunities in many international companies all over the world. The jobs are open to experts in data science and even freshers in the industries. No wonder there has been a skyrocketing in the annual salary of data scientists in many international countries. Remember the law in economics? yeah that one, the higher the demand, the higher the price.

However, even with the increase in the demand for data scientists, There is still the issue of finding the countries offering better payment for this profession. There is also that concern of how much data scientist are paid. Whatever your concern about this profession, we are here to provide you with the best answers.

In this article, we will discuss the countries with the highest payment plans for data scientist, what you need to do to become a professional data scientist and the numerous opportunities in this field.

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. In a more simplified term, a data scientist is someone with the rights knowledge on the use of data and numerals for the effective running of an established system. A person with this skill is called a data scientist.

In addition, a good data scientist knows everything about the collection of data, data conversion, and the exploratory analysis of data. He or she is also vast with the knowledge of applying the needed machine learning algorithms to produce a workable model. From data collection to data analysis, the roe of a data scientist cuts across the regular setting of analysis for business operations. As a matter of fact, a good data scientist makes life easier for everyone working in the company.

Furthermore, as a data scientist, you’re bound to make a lot of money. This is because data scientists are well sought-after (due to the relevance of their role) and are paid huge salaries. While this profession is generally paid well, there are certain factors that 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.

Having considered these factors, in the next section of this post, we will talk about how you can become a certified data scientist and the highest paying countries in need of data scientists.

How to Become a Certified Data Scientist

Data is an essential part of businesses and Industries that can not be overlooked. Therefore, data scientists make use of data to provide useful insights into customer behavior and experience, tracking engagements on social media platforms other relevant platforms through which such industry interact with their targeted audience. Hence, this information helps companies grow their businesses in the right direction.

So, if you love solving complex problems, and you are excited to work with large volumes of data or you have good critical thinking skills, you might be a great fit for this role. In addition to this, you must bear in mind that working with complex data may get frustrating if you do not have the drive and enthusiasm for such jobs.

Furthermore, to be successful as a data scientist, you need to master the use some data analytical tools. This will help you enjoy the work process of working as a data scientist.

To make it easier for you to succeed as a data scientist, we have listed some simple steps you can take to become an expert in this role. If you can master these skills listed below, its just a matter of time and you will be on your way to landing deals as a data scientist.

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. As a plus, there are so many online registered platforms like ALX Africa, Coursera, DataCamp and edX. You can get certified in this platforms in less than a month. However, you may need to invest some amount of money in order to access these courses.

Step 2:

Master statistics. All you need here is a basic understanding of statistics which will help you extract information from data. While this may sound easy, it will cost you some time and effort to master. However, with google sheets, this shouldn’t be impossible.

Step 3:

Master technical skills like mathematics, programming, statistics. These skills can be learned on learning platforms like Coursera, LinkedIn, etc. Since data analytics is a game of numbers, the better you get with understanding and mastering programming language, the more efficient you’ll become in this field.

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, these certificates can be used as an evidence that you are a master of the craft.

Step 6:

Prepare your data science resume/CV. As you know, your resume is your first contact with your employer, you want to make sure it is clearly written, highlighting your basic skills and qualifications. A well written CV or Resume, speaks volume of you. Check out this article on Best data scientist CV sample for a better guide or Get in contact with a CV writing expert!

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Step 7:

Lastly, prepare for your data Science job interview. Not sure how to do this? you cam contact the help of an expert or checkout simple interview preparation videos on YouTube.

Highest Paying Countries in Need of Data Scientists 2022

Now that you know what it takes to become a proficient data scientist, You’ll need to know the top countries in need od this profession. Below, we have listed the top 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 and increase with your level of experience. If you continue to practice as a data scientist, with over 9 years of experience, your average annual salary is bound to increase to around $165,000. Furthermore, if you are lucky to land a role as a manger, you will receive an average of $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.

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

Summary; Highest Paying Countries in Need of Data Scientists

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. And with this list, you are sure to find the right country offering just the base salary you need to start off with life.

which country pays highest salary for data scientist?

The country with the highest salary for data scientist is the united states with an average annual salary of $165,000

  1. United States; Average Annual Salary – $160,000
  2. Switzerland Average Annual Salary – $140,000
  3. UK ; Average Annual Salary – $120,000
  4. Norway Average annual Salary – $111,000

What are the best Countries for Data Scientist

The top countries that provide the best education in data science include the USA, UK, Canada, France, Australia, New Zealand.

What is highest data scientist salary in the world?

The US offers an average of $160,000 annual to data scientist making them the country with the highest data scientist salary in the world.

What is the Data Scientist Salary in Canada?

According to data gathered by Stack Overflow, data scientists’ salaries in Canada ranges from CA$69,000 to – CA$120,000 annually.

Which Country has Highest Demand for Data Scientist?

The following Countries have the highest demand for data scientist:

  • San Jose, California.
  • Bengaluru, India
  • Geneva, Switzerland.
  • Berlin, Germany.
  • London, United Kingdom.

Editor’s Recommendation

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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