Data Scientist’s professional salaries around the world in 2023

Apps, forms, surveys, and more – all generate massive amounts of data. These data are used by businesses of all sizes to make informed decisions and grow their operations. However, it takes skilled data science professionals to properly analyze and interpret these vast amounts of data in order to support data-driven decision-making.

As a result, companies around the world, across industries, offer data science jobs for eligible and qualified professionals. Both students and experienced professionals are attracted to data science careers due to the excitement of the work and the great remuneration offered around the globe. This has led to an increase in the popularity of Best data science certification and courses in recent times.

If you’re interested in pursuing a career in data science but are unsure about the salaries data scientists earn around the world and the factors that influence those salaries, this blog post is for you. Let’s dive in and explore the world of data science salaries.

What are data scientists?

But first, you should understand what exactly a data science professional has to do in his day-to-day job. Unlike what many people perceive as working on data and excel sheets and making reports, data science jobs are completely different and have evolved a lot in recent times. It is a field that combines programming, statistics as well as business knowledge to extract insights from data. Data science professionals are responsible to generate meaningful insights beneficial for business from raw data. With proper data science certifications, they become more efficient in doing this job. The data scientists have to use various tools such as statistical modeling, machine learning algorithms, and data visualization techniques to gain insights into complex data sets. Depending upon their skills, efficiency, and experience, they receive salary packages accordingly.

Factors that influence data scientist’s salaries

Let’s have a look at various factors that determine how much salary a company offers to data science professionals.

Experience – No doubt higher the experience, the higher the salary. According to recent surveys, an entry-level data scientist can expect around $95,000 in the US while an experienced candidate can get more than $160,000 per annum. 

Education – It is another important factor that influences the salary of a data scientist. As per Glassdoor, the candidate who holds Ph.D. is offered up to $170,000 and the one with a Master’s degree earns up to $124,000. Certification in data science also proves to be an added advantage to getting a higher salary. 

Location – Like any other job, location also plays an important role in determining the salary of data scientists as well. Data scientists in major tech hubs such as San Francisco or New York typically earn more than those in smaller cities. However, the cost of living should also be taken into account when comparing salaries across locations. 

Industry: The industry that a data scientist works in can also affect their salary. For example, data scientists working in finance or healthcare typically earn more than those in retail or government.

 

Salaries around the world

So now let’s explore what salary you can expect in markets across the globe if you want to pursue a data science career.

United States – The United States is one of the highest-paying countries for data scientists. As per Glassdoor, the average salary of a certified data scientist is $113,309 P.A. Also, depending on the location the salary can fluctuate within the country. For example, data scientists in San Francisco earn an average of $145,000 per year, while those in New York City earn an average of $129,000 per year.

Canada – In Canada, the data scientists get $91,445 PA on average. When they progress in their data science career, the average salary of senior data scientists and lead data scientists goes up to $119687 and $126,675 respectively. Data scientists located in Toronto earn the most in Canada.

Europe – Europe is also home to many lucrative data science opportunities, with data scientists in the United Kingdom earning some of the highest salaries in the region. According to Glassdoor, the average base salary for a data scientist in the UK is 46,665 per year, with some earning upwards of 70,000 or more. In Germany, data scientists earn slightly less, with an average base salary of 57,740 per year, according to Glassdoor.

India – Though the salary of certified data scientists is low as compared to other parts of the world, data scientist jobs still offer a much higher salary than other jobs in India. The average data scientist’s salary in India is INR 840,000.

Australia: The average salary for a data scientist in Australia is AU$101,000 per year, according to Indeed. Salaries can vary depending on location, with data scientists in Sydney and Melbourne earning the highest salaries.

China: The average salary for a data scientist in China is 223,000 per year, according to Indeed. The professionals in Beijing and Shanghai earn the most in this data science career path.

Conclusion

Data scientist jobs are very lucrative and also in demand all around the world. The USA offers significantly higher salaries to data science professionals followed by Europe and Canada.

To maximize your earning potential as a data scientist, it’s important to obtain the necessary education and data science certification, gain experience through internships or entry-level positions, and network with professionals in the industry. It’s also important to carefully consider job opportunities and choose a company and industry that aligns with your values and goals.

As the demand for skilled and certified data scientists continues to increase around the world, salaries are likely to rise in the coming years. By building a successful career in data science, you can take advantage of these opportunities and make a positive impact on the world through your work.

 

The post Data Scientist’s professional salaries around the world in 2023 appeared first on Datafloq.

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