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Data Scientist Salary In The UK In 2024: Overview, Future Prospects & More

• Updated On March 9, 2024
• Published In Jobs & Internships 👩‍💻 , Study in UK 🇬🇧

The world of data science has witnessed explosive growth in recent years. As organisations increasingly depend on data to make informed decisions, the demand for data scientists has improved. 

Table of Contents

This comprehensive guide will analyse the complexities of Data Scientist Salary in the UK. 

Explore data scientist jobs for a detailed understanding of salary trends. Let’s dive into data and numbers, starting with a general overview of data scientist positions in the UK.

Why Choose The UK?

The UK as a data scientist is a wise decision for several practical reasons. The UK offers a vibrant and varied job market with a growing demand for data scientists across multiple industries.

UK data scientists enjoy competitive earnings with an average salary of ~₹60.6L per year in London.

Moreover, the UK offers opportunities for career development, access to high technology and a supportive professional community.

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The country’s rich history, cultural diversity, and work-life balance make it an attractive destination for those looking for professional success and a high quality of life.

Data Scientist Salary In The UK Based On Job Roles

The field of data science offers various job roles, each with its own responsibilities and salary expectations. 

Understanding the wages based on specific positions can help growing data scientists and experienced professionals guide their career paths effectively.

Here’s an overview of data scientist salaries in the UK based on specific job roles:

It’s essential to note that these are approximate salaries and can fluctuate based on the specific company, industry, and location. As data science continues to grow, job roles and their corresponding salaries may vary to meet the changing demands of the field.

Data Scientist Salary In The UK By Years Of Experience

Experience is a critical factor influencing the data scientist’s salary in the UK. As professionals gain more expertise and add successful projects to their portfolios, their value in the job market increases. 

Here’s a breakdown of how data scientist salary in the UK can evolve with experience:

The more experience a data scientist gains, the better salaries they can earn. It reflects the demand for data scientists who have a proven track record of delivering positive results.

Data Scientist Salary In The UK By Regio n

Data Scientist salaries in the UK can vary significantly depending on the region. London generally offers some of the highest data scientist salaries due to its high cost of living, while other regions also provide competitive packages. 

Understanding regional differences is essential when considering a career as a data scientist in the UK.

Here’s a regional analysis of data scientist salaries in the UK:

Future Prospects Of Data Scientists In The UK

The future of data science in the UK is promising for data scientists. The demand for highly skilled data professionals is set to grow as organisations continue leveraging data’s power in making informed decisions.

Explore the future prospects for data scientists in the UK and the exciting opportunities.

• Increasing Demand: The demand for data scientists is expected to grow constantly, with organisations across various sectors.
• Diverse Industries: Data scientists will find opportunities in many industries, including finance, healthcare, e-commerce, and more, as every sector increasingly depends on data analytics.
• Advanced Technologies: Rapid advancements in artificial intelligence, machine learning, and big data analytics will empower data scientists to solve complex problems and make more accurate predictions.
• Career Progression: Data scientists can expect great opportunities for career progression, including roles in data engineering, data architecture, and data science leadership positions.
• Continuous Learning: Staying updated with the latest tools and techniques will be essential, and the UK offers a wealth of educational resources and professional development options.
• Global Collaboration: UK data scientists can cooperate with professionals worldwide, contributing to international projects and expanding their horizons.

The future of data science in the UK is bright, offering a dynamic and rewarding career path for those passionate about uncovering insights from data.

Data Scientist Salary In India Vs Data Scientist Salary In The UK

Data scientists worldwide are keen to understand how their earnings stack up, and a comparison between India and the UK can provide valuable understanding. The data scientist’s salary in the UK is generally higher than in India due to cost of living differences. 

However, these variations are balanced by each country’s respective economic conditions and opportunities. 

Let’s dive into a detailed comparison of data scientist salaries in the UK and India.

The salary comparison highlights that, on average, data scientists in the UK tend to earn higher salaries than in India. However, it’s essential to consider the cost of living and quality of life when making such comparisons, as they significantly differ between the two countries.

Final Thoughts:

In the dynamic world of data science, the data scientist’s salary in the UK can significantly vary based on experience, location, and job role. 

The UK offers attractive data scientists opportunities, with competitive salaries across various industries.

Whether you’re an aspiring data scientist or a professional, understanding the complexities of data scientist salary can guide your career decisions and help you secure a financially rewarding future in this exciting field.

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Q. What is the average data scientist salary in the UK?

A. The average salary for a data scientist in the UK is ~₹60.6L per year. However, this figure can vary based on experience, location, and industry. Entry-level data scientists with 0-2 years of experience can expect salaries of around ~₹45L- ~₹66L per year, while those with more experience and expertise, such as senior data scientists, can secure a salary of ~₹86L – ~₹1Cr or more.

Q. Is there a high demand for data scientists in the UK?

A.  Yes, there is a high demand for data scientists in the UK. The need for skilled data scientists has improved with the increasing recognition of the value that data-driven insights bring to businesses and organisations. Various sectors, including finance, healthcare, retail, and technology, are looking for professionals to make the best and most accurate judgments from the data. This demand will continue growing as data science plays a crucial role in guiding strategic decisions and enhancing functions across different industries in the UK.

Q. Why should I choose the UK for data science?

A.  The UK for a data science career offers several advantages. The UK provides a diverse job market with a growing demand for data scientists across various industries. The competitive salaries, with an average salary of ~₹60.6L per year, make it an attractive destination. Moreover, the UK is home to the latest technologies, providing excellent opportunities for professional growth. Its rich history, cultural diversity, and work-life balance also enhance the quality of life for data scientists.

Q. Getting a job as a data science engineer in the UK is easy?

A.  Getting a job as a data science engineer in the UK can be achievable with the proper qualifications and skills. The high demand for data professionals means that opportunities are available. However, competition can be intimidating, so having a solid educational background and relevant experience is crucial. Networking and staying updated with industry trends can also improve your chances. Overall, a proactive approach and the right skill set can lead to a rewarding career in data science in the UK.

Q.  What educational qualifications are required to become a data scientist in the UK?

A.  A strong educational foundation is essential to become a data scientist in the UK. A bachelor’s degree in a related field, such as computer science, mathematics, or statistics, is important. However, many data scientists also seek postgraduate qualifications, like a Master’s or a PhD, to enhance their skills and knowledge. Additionally, online courses and machine learning certifications can also be valuable. Further formal education and practical experience through internships or personal projects are also highly considered in the industry. 

Q. Why choose the UK over India to pursue data science?

A.  Choosing the UK over India for a data science career has several advantages. The UK offers a well-established data science job market with competitive salaries and diverse opportunities across various sectors. The quality of education and research resources is world-class, providing a solid base for aspiring data scientists. Moreover, the UK’s work environment encourages innovation and collaboration worldwide, and its stable economy and high living standards ensure a high quality of life. The UK provides a unique combination of professional growth and a rewarding lifestyle for people passionate about data science.

Q. Can an Indian data scientist work in the UK?

A. Yes, an Indian data scientist can work in the UK. They generally need an employer’s work visa or sponsorship to do so. Popular work visas for skilled professionals in the UK include the Tier 2 (General) Visa and the Tier 2 (Intra-Company Transfer) Visa. Securing a job offer from a UK-based employer is often the first step, and the employer can help with the visa application process. Meeting the visa requirements and having the essential qualifications and skills are crucial for successfully working as a data scientist in the UK.

Q. How to get a data science job in the UK?

A. Securing a data science job in the UK involves several steps. Obtain the necessary qualifications, such as a relevant degree or certification in data science. Build a strong CV showcasing your skills through projects and practical experience. Next, search for job opportunities on job portals, company websites, and networking platforms. Share your resume and cover letter to the specific job organisation you’re applying to. Prepare for interviews by practising data science-related questions and showing your expertise. Building a professional network in the UK can also be invaluable for job referrals and insights into the job market.

Q. Is a data scientist’s salary in the UK affected by experience? 

A.  Yes, a data scientist’s salary in the UK is often influenced by their experience. Generally, as data scientist gains more years of experience, their salary tends to increase. Entry-level data scientists with little experience may start with lower salaries ranging from ~₹45L to ~₹66L. Yet, their earning potential grows, especially as they get experience in the field and build a proven track record. Senior data scientists with extensive expertise and a history of delivering impactful insights often command higher salaries ranging from ~₹86L to ~₹1Cr. Experience is a critical factor that employers consider when selecting a data scientist’s salary package in the UK.

Q. Is it easy to get a job in the UK after completing a master’s in data science?

A. Getting a job in the UK after completing a master’s in data science is reasonably achievable, but it also depends on various factors. A master’s degree equips you with valuable skills and knowledge, making you a strong candidate. However, securing a job can also depend on your practical experience, networking, and the job market’s demand during your search. Doing internships, Improving your portfolio, and actively networking with professionals can significantly enhance your chances of getting a data science job in the UK.

Q. Which are the top data analytics company in the UK?

A. The UK has several top data analytics companies like Meta, Capgemini, Deloitte, and Amazon. These companies offer extended data analytics services to businesses and organisations, delivering data-driven insights for accurate decision-making. There are also innovative data-focused companies such as Experian, which specialises in credit and marketing data, and Palantir Technologies, known for its data integration and analysis solutions. These companies are at the top of the data analytics industry in the UK and offer exciting career possibilities for data professionals.

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Table of Contents

Data scientist salary in the uk, data scientist salary in the uk: based on experience, data scientist salary in the uk: based on location, data scientist salaries in the uk: trends & insights [2024].

If you are that tech wizard who collects data and highlights valuable insights through analytical, programming , and statistical skills, you are in demand, more than you’ve probably imagined!

Data scientist's roles are stealing the spotlight in the global business era. Have you ever wondered why? It's a game of unparalleled versatility! With the growing world of businesses, handling big data is quite challenging, and data scientists nail the job just right. 

The Bureau of Labor Statistics reports that data scientists' jobs are expected to grow by 35% before 2032. With the increase in data scientist jobs, there is a huge increase in competition, including in the United Kingdom. Companies seek field expertise and offer high pay based on candidates’ skills and experience levels. Learn how salaries vary in the United Kingdom depending on varied levels of expertise.

The average base pay of a data scientist in the UK is £50,510 per annum . But did you know data scientists who have passed from the same college earn variable salaries? This only happens due to differences in job locations and experience levels.

Let us explore how data scientists' salaries in the UK are influenced by the abovementioned factors.

• Experience: Companies hiring data scientists offer different salaries based on their prior workings and exposure in the field. The average data science salary in the UK for entry-level, mid-level, and experienced data scientists can never be the same. The higher pay by the company to a data scientist is a reward for their hard work, dedication, expertise, and the value they bring to their company.
• Location: Another factor that influences data scientists' salary is the country and the region. It primarily depends on the country’s economic conditions and living standards. For instance, data scientists' salaries in the UK are quite high compared to those in countries with lower economic conditions.

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Know that the more experience a data scientist has, the higher the salary package they will receive from the company. Let us explore data scientists' salaries in the UK based on their experience level.

Entry-Level Data Scientist Salary in the UK

The average base pay range of entry-level data scientist salary in UK is £39,521 per annum , with an average base pay range of £31T to £42T , where T stands for thousands. The additional cash compensation is £2,984 with a range of £1,839 to £4,842 . 

Top-tech companies like FAANG offer higher salary packages for entry-level data scientists. For instance, 

• A junior or entry-level data scientist at Google in the UK earns £45,418 per annum with a base pay range of £30,000 to £85,000 per annum . 
• A junior or entry-level data scientist’s salary in the UK at Meta (Facebook) with 0-1 years of experience is £70,000 per annum . 

Mid-Level Data Scientist Salary in the UK

The mid-level data scientist earns £59,454 per annum . However, their salaries vary with location and the company's reputation. 

For instance, 

• Data scientists with 1 to 3 years of experience earn an average base pay of £80,000 per annum .
• Meta offers data scientists an average base pay of £90,000 annually with 4-6 years of experience.

Experienced Data Scientist Salary in the UK

When it comes to experienced data scientists, there are two roles: senior and lead. Their salary relies on the number of years they have experience. The senior data scientist's salary in the UK is £80,878 per annum . In contrast, a lead data scientist is more experienced than a senior data scientist and thus earns a salary of £88,515 per annum . However, like every other position, their salary figures differ as per the companies’ reputation.  

• Data scientists with 4 to 6 years of experience in Meta (Facebook) earn a base pay average of £90,000 per annum . 
• In contrast, a data scientist with 7 to 9 years of experience earns a base pay average of £88,818 per annum . 
• A data scientist with 10 to 14 years of experience earns £1,01500 per annum and a range of £1,20,000 to £1,20,000 in 15+ years of experience.

Data scientists' salaries in the UK vary with region based on the standard of living. Let us have a quick review of how much a data scientist earns in different cities in the United Kingdom.

The average base salary of data scientists in London is £60142 per annum .

A data scientist in Reading earns an average base pay of £50,559 per annum .

The average base pay of data scientists in Birmingham is £49,123 per annum .

A data scientist in Manchester earns a base salary of £45,579 per annum .

Companies pay £44,774 per annum to data scientists in Edinburgh.

An average salary of £43,721 per annum is offered to data scientists in Oxford city.

A data scientist earns an average base pay of £42,179 per annum in Bristol, UK.

Companies offer data scientists an average base pay of £42,625 per annum .

A data scientist earns an average base pay of £41,794 per annum in Leeds.

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There is tough competition for landing a high-paying data scientist job in the United Kingdom. Companies demand skilled professionals to bring their unique features that add growth and fame. The challenge of landing lucrative positions in top-tech companies like FAANG+ multiplies tenfold. However, with the right approach, under experts' guidance, you can get hired by your favorite company. 

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LSE PhD Studentship in Data Science

For 2023 entry, LSE is offering a doctoral studentship for PhD study affiliated to the Data Science Institute (DSI). 

Applications are welcome from both students applying to core data science programmes (Statistics, Mathematics, or Methodology) as well as from applied departments across the School, as long as their projects involve data science or computational social science methods.

The successful student will join a growing cohort of existing DSI-hosted PhD students as well as a regular stream of visiting PhD students in data science. 

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Selection for this studentship is on the basis of outstanding academic merit and research potential. This relates both to your past academic record and to an assessment of your likely aptitude to complete a PhD in your chosen topic in the time allocated.

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The LSE Data Science PhD Studentship is tenable for four years and covers full fees along with an annual stipend of £19,668 (2022/23 rate).

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To be considered, you must submit a complete application (including references, proposal, marked work etc) by the funding deadline below.  

• funding deadline for all LSE PhD Studentships for 2023 entry: 13 January 2023

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Data Scientist salaries in London.

Estimated average salary range:.

Estimated average salary:

Our salaries are based on data from thousands of placements and inside industry knowledge from our expert recruitment teams. These salaries represent the average range considering a number of variables (industry, location, level of seniority etc.).

£80,000 - £95,000

According to our salary calculator, the average annual salary for Data Scientists working in London is £80,000 - £95,000 .

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Whether you're looking to hire your next Data Scientists or you're searching for a new job in this space, we are perfectly positioned to help.

Salary type:

From £95,000 To £130,000

From £80,000 to £95,000, from £60,000 to £80,000, latest technology jobs, java team lead, `senior product manager, data scientist - sole scientist, application support analyst - financial services, tableau developer, related searches., explore other technology salaries..

Learn more about further salary trends, skills in demand and available jobs in Technology.

Up, down or flat? The state of salaries.

Significant salary increases seen in 2022 normalised in 2023 - with fewer vacancies, the power shifted. However, employers should be careful to not under offer as they will likely miss out on the top talent that understands their value.

of organisations kept their salary bandings level over the second half of 2023.

of employers plan to increase salary offers in 2024 for certain, hard-to-fill roles.

of professionals are optimistic that they will receive an increase in 2024.

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Data Science Salaries Around the World in 2024

Join over 2 million students who advanced their careers with 365 Data Science. Learn from instructors who have worked at Meta, Spotify, Google, IKEA, Netflix, and Coca-Cola and master Python, SQL, Excel, machine learning, data analysis, AI fundamentals, and more.

Data science is one of the top 3 career choices in terms of compensation. However, we know that there can be considerable differences based on location, company type, level of experience, and so on.  

So, before choosing your career path, consider all possibilities. You don’t want to enter the field with unrealistic expectations and be disappointed.  

We at 365 Data Science are firm believers in making informed decisions. To help you out, we present a detailed overview of data science salaries across different countries, levels of education, industries, and more.  

For the sake of consistency, the comparison includes self-reported Glassdoor data only. We present all numbers in US dollars. That said, we need to be wary that a dollar in New York has a different purchasing power than a dollar in Mumbai or Eastern Europe, for example.  

Nevertheless, the numbers are more than intriguing. Read on and see for yourself or watch the video below for a concise overview of the topic.  

Data Science Salaries Around the World: Table of Contents

Data science salaries by country, data science salaries by industry, data science salaries by education, data science salaries by job title, data science salaries by company size, data science salaries by years of experience, data science salaries around the world: next steps.

Where you live has a huge impact on your earnings. To illustrate the variation in salaries between and within countries, we’ll provide the national average first, followed by the average salaries in selected cities.  

Let’s start with the old continent – Europe.

United Kingdom

Across the British market, most data science employers in 2022 are based in England (91%) , while 8% are in Scotland and 2% in Wales.  

As of 2024, the average data scientist salary in the UK is around \$67,254 per year. That is the base pay. With additional compensation, the number goes up to \$79,978 . However, the range is huge. You could be earning anything from \$50,885 to \$90,318.  

Unsurprisingly, London makes up 55% of all data science jobs in the UK. The median data scientist salary in London is \$75,516 per year – up to \$92,052 with additional pay .  

Germany ’s strong economy allowed it to surpass Britain in terms of data science salaries . The average national wage in 2024 is \$85,115 per year (additional compensation included). The lowest annual pay reported on Glassdoor is \$67,505 and the highest is \$90,369.  

Someone working as a data scientist in Munich can expect a median base salary of \$73,497   per year. The average additional compensation is \$5,444 per year, resulting in a total average pay of \$78,941 .  

According to recent research, the IT market in Germany is expected to reach \$129 billion by 2025 . This will create a growing demand for tech workers and data professionals. In turn, the salaries are likely to increase too.  

Switzerland

At the same time, Switzerland stands out as one of the countries with the best salaries in Europe. The average data scientist salary there is \$143,360 per year (additional pay included) . Based on various factors, this number could range from \$119,710 to \$153,090 per year.  

A data scientist in Geneva will take home \$120,876 annually, plus an additional cash compensation of \$10,937. This results in a total salary of \$131,813 per year . That’s a considerable difference compared to the UK and Germany, right?  

Eastern Europe

So far, the salaries we discussed are exceptionally high. But, of course, there are countries that have some significant catching up to do.  

For example, the average data science salary in Romania is \$45,531 per year . As in the previous examples, this number is slightly higher in the capital. Data scientists in Bucharest earn around \$57,726 per year . The annual earnings in the country range between \$31,489 and \$83,979.  

In Bulgaria , the average data scientist salary is \$47,425 per year , and in Sofia – \$47,458 per year . The lowest reported annual earnings are \$33,401, while the highest is around \$80,162.  

The salaries of data scientists in Eastern Europe are the lowest in the European Union. Over the next few years, the strong development of the startup ecosystem in Eastern Europe and the advent of successful AI startups, such as the Romanian UiPath, may help this region match up with Western Europe. Who knows?

But hold on for a second.  

Before making any conclusions, note that the number of salary reports on Glassdoor differs greatly between countries . In this case, it is possible that the smaller sample of data science salaries in Bulgaria and Romania has biased the results.  

Still, this presents an interesting trend, which is definitely worth considering when you’re choosing a career path. Just remember to take into account other factors, too, like the standard of living in each country and the purchasing power of the salary in question.  

Now, let’s move on to other regions.  

How much do data scientists make in Africa?  

As it turns out, Easter Europe is not the only region that needs to catch up.  

If you work as a data scientist in Cairo , you can expect to receive around \$14,368  per year. The same amount is reported for the entire Egypt area. The lowest annual base pay in Egypt , according to Glassdoor, is \$6,990, while the highest is \$25,631.  

This is marginally lower than the earnings in Romania and Bulgaria. Is that the case in Africa in general?  

Let’s take a look at another country to find out.  

The median data science salary in South Africa is \$44,436 per year , with a range between \$23,788 and \$65,084 per year. Someone working in the same position in Cape Town will make around \$51,329 yearly. While that’s triple the amount in Egypt, it’s much smaller than the salaries in the Western European countries above.  

Perhaps unsurprisingly, the range of salaries in Asia is huge. We’ll focus on a few notable examples to illustrate that.  

Let’s start with India – one of the global powers in the data science world. The entry of many US companies has increased data science salaries a bit in recent years. Yet, compared to most other regions on our list, they are close to nothing.  

The average annual pay in  India  is \$16,759 , with a range from \$9,604 to \$24,070. The number is slightly higher in New Delhi  – \$18,662 , and slightly lower in Mumbai – \$14,745 . Lastly, someone working in  Hyderabad would receive a mean pay of \$14,242 .  

As you can see, the variation within the country isn’t that big. But like we said, the situation looks completely different in other Asian regions.  

How much do data scientists make in Japan , for example?  

The annual pay varies between \$40,579 and \$67,632, with a median value of \$54,105 (bonuses included). The average salary in Tokyo is \$52,081 . While this can’t compare to the data science salaries in Switzerland, it’s still in the higher earnings bracket.  

Not too far from India in terms of distance, but quite far in terms of pay, is the Land Down Under. Australian data scientists receive a mean income of \$79,218 per year, with a range from \$64,591 to \$94,251.  

There are few reports of data science salaries in Canberra , but the average amount is \$85,671 . The median pay is approximately the same in Sydney , at \$85,032 per year, and slightly lower in Melbourne , at \$79,103 .  

That’s significantly more than the previous few examples, isn’t it? It’s only surpassed by Switzerland and Germany so far. Now, let’s see how the Land of Opportunity stacks up against the Land Down Under.  

North America

Finally, we’ll take a look at North America.  

If you want to work as a data scientist in Toronto, Canada , you can expect around \$75,911 per year. The national average salary for this position is \$73,607 , with the lowest reported amount being \$59,539 and the highest – \$92,986.  

As expected, US salaries are the highest, with a total annual pay of \$156,790 . The lowest reported earnings are \$130,550 and the highest are \$189,320 per year.  

Let’s break this down further.  

The average data scientist salary in New York is \$160,156 per year . That’s more than the highest payment we’ve seen on this list so far – in Switzerland. But the earnings are even bigger in San Francisco , with an annual base pay of \$144,580, plus \$34,056 as additional compensation. This amounts to a total average of \$178,636 .  

Let’s see if anything can surpass this.  

The average data scientist salary in Boston is \$155,984 in total. That’s still pretty high, right? Almost the amount in New York.  

Next, we’ll take a look at the average data scientist salary in Chicago . Someone working there could expect to earn around \$140,744  per year in total.  

We turn to the West to see the average data scientist salary in Denver, Colorado . The total pay is \$140,293 per year (\$117,623 base pay and \$22,670 additional compensation). Again, that’s pretty high, but not the highest we’ve seen, right?  

Ladies and gentlemen, we have a winner – San Francisco . But, as you can see, data scientists earn big money pretty much everywhere in the US.  

Still, the United States Bureau of Labor Statistics expects that the demand for trained data scientists will continue to surge, resulting in a 27.9% rise in employment by 2026 . The increased demand leads to a lack of trained professionals, which, in turn, could drive salaries even higher.  

So, if you’re still wondering whether to pursue a career in data science, this is your sign to go for it. You can start with our Introduction to Data and Data Science course to get a feel of the field.  

Take the first steps toward a successful career in Geneva or San Francisco, or Tokyo – the world is your oyster. Of course, as we said, location isn’t the only factor determining your salary.  

Let’s get back to the list so you can choose the right path before you dive in.  

Apart from location, industry is the other major factor influencing the size of salaries. In this section, we’ll focus on the average earnings of data science specialists in different sectors.  

For simplicity, we will report all amounts in US dollars and compare them to the national average. As we remember, the average annual pay of data scientists in the US is \$156,790 .  

So, let’s begin with some of the highest-paying industries :  

• Telecommunications – \$162,990
• Information technology – \$161,146
• Insurance – \$160,565
• Financial services – \$158,033

In the midrange are the following sectors:  

• Government and administration – \$156,801
• Management and consulting – $156,799  
• Arts, entertainment, and recreation – \$156,793
• Healthcare – \$147,041

Most industries fall in this group – real estate, restaurants and food service, pharmaceuticals & biotechnology, and so on.

Finally, we present a few sectors in the lower earnings bracket . Well, low by the high expectations we set with the previous examples.  

• Agriculture – \$135,877
• Personal consumer services – \$134,779
• Legal – \$131,427  
• Manufacturing – \$121,285  
• Education – \$120,445  

Of course, this comparison is by no means exhaustive. There are numerous sectors out there, and the variation within them is just as big as it is between them. Still, this gives us a good idea of the range we can expect in different sectors.  

Moving on to the next factor.  

The trend we’ll see here won’t surprise you – employees with more advanced degrees tend to earn more. But how significant is this difference exactly?  

Our research shows that over 90% of data scientists have some level of higher education . And while more employers become open to hiring professionals with bachelor’s degrees, those with Master’s still hold the majority. In addition, someone with a PhD will likely have a smaller salary than someone with a Master’s in data science .  

Is that the case only in data science or in other related fields as well?  

The following example from data analytics will provide an answer to that question.  

A 2019 study by Forbes powered by Statista revealed that 71% of Predictive Analytics Professionals have a Master’s degree and 15% have a PhD . There is also a positive correlation between the level of education and people’s earnings. In other words, those with a PhD tend to earn more than those with a Master’s, and so on.  

That said, simply having a Master’s in data analytics won’t secure you a bigger salary . As we saw in the numerous examples above, your pay depends on a plethora of factors.  

Sure, the starting salary of a data scientist with a PhD might be higher than that of someone holding only a bachelor’s degree. However, the years of experience, industry, company size, and country will have just as strong, if not stronger, impact on earnings.  

Holding an advanced degree shows employers that you have the background they are looking for. Choosing a good data science Bachelor’s or Master’s degree will give you a head start. Still, from there on, your salary will depend on your performance.  

That said, education plays a bigger role in some positions than others. In management roles , for example, employers value experience over education. As you’ll see in the examples below, this is also reflected in the salaries.  

We covered a wide range of factors influencing the earnings of data scientists. To get an idea of the variation within the field, we’ll take a look at a few data-related roles.  

We’ll start with the more basic and end with the advanced positions.  

The job of a data researcher is to collect, manage, and interpret data in a given organization. The aim is to discover patterns and gather useful insights for the company. Since it doesn’t involve the use of complex tools and coding typical for data science positions, the median data researcher salary in the US is just \$62,341  per year.  

Data analyst is often used interchangeably with data researcher, especially in recruitment. However, by definition, it refers to the analytics part of the job, and not the collection and management of data. Since this position involves more complex analysis, specialists in the field tend to have bigger earnings than researchers. The average data analyst salary is \$82,222 .  

That is nothing compared to what data engineers earn, though. The median data scientist engineer salary is \$125,256  per year. Their job involves building systems for collecting and managing data, as well as preparing raw data for analysis. In other words, their work precedes and complements the work of data scientists.  

Moving on to the next role.  

In bigger companies, there may be teams of people in different data-related roles. In those cases, someone needs to coordinate and oversee their work. That’s what the data science manager role entails.  

Along with the main duties of a data scientist, they are responsible for directing a team and communicating with other departments to create a unified data science strategy. In exchange, the average data science manager receives a \$226,770   salary .  

Another responsible and highly paid role is that of a principal data scientist. Someone in this position would need business acumen and about a decade of experience on top of their excellent data science skills. An accurate reflection of the high level of responsibility this role involves, the median total annual salary of a principal data scientist is \$243,885 .  

Is your head spinning? We’re not done yet.

The salary you earn also depends on the organization you work for.  

According to Glassdoor, bigger companies would pay a data scientist significantly more than smaller businesses . And, as expected, the big names out there have the highest pay rates.  

Here’s a list of the top 10 highest paying companies:  

• Cruise – \$275,421  
• Stripe – \$264,056    
• Cloudflare – \$255,840    
• Snowflake – \$255,149  
• Meta – \$251,997    
• DataBricks – \$251,680    
• Google – \$251,180
• OpenTable – \$247,520    
• Roblox – \$248,910    
• DocuSign – \$248,436    

The numbers above reflect the median total pay regardless of years of experience extracted from user reports on Glassdoor. If we only take entry-level salaries, for example, entirely different companies may appear on the list.  

Speaking of experience, let’s see how earnings changes with time.  

The average entry-level data scientist salary is \$117,276 per year. Naturally, as you progress with your career, your earnings will grow.  

Below are Glassdoor’s estimates of the median annual total pay for data scientists in the US based on years of experience:  

• 0-1 years : \$117,276  
• 1-3 years : \$128,403  
• 4-6 years : \$141,390  
• 7-9 years : \$152,966  
• 10-14 years : \$166,818  
• 15+ years : \$189,884  

That’s a great motivation booster and an excellent example of the importance of persistence. We at 365 Data Science are firm believers in continuous learning and development. As such, we offer advanced specialization trainings. Courses like Data-Driven Business Growth can help you progress to the next level in your career.  

This wraps up the comparison of data science salaries across different dimensions. We hope you enjoyed it and found it useful! If you’re still unsure whether this is the right job for you, you can check out our course Starting a Career in Data Science: Project Portfolio, Resume, and Interview Process .  

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Aleksandra Yosifova

Blog author at 365 Data Science

Aleksandra is a Copywriter and Editor at 365 Data Science. She holds a bachelor’s degree in Psychology and is currently pursuing a Master’s in Cognitive Science. Thanks to her background in both research and writing, she learned how to deliver complex ideas in simple terms. She believes that knowledge empowers people and science should be accessible to all. Her passion for science communication brought her to 365 Data Science.

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Updated on 11 October, 2023

Shivangi Mishra

Sr. content editor.

The demand for data scientists is skyrocketing worldwide, making it one of the most sought-after roles in the industry. Job postings for data science positions are rapidly increasing as companies recognize the value of capturing and analyzing data in today's technology-driven landscape. 

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According to the US Bureau of Labor Statistics , the field of data science is expected to witness a substantial growth of 36% from 2021 to 2031. Additionally, operations research analyst roles, which are closely related to data analysis, are projected to experience a significant growth of 23%, highlighting another promising career option with strong growth potential. However, the question arises - which country holds greater prospects for a data professional? Is it the UK or India? To unravel this mystery, let us explore the story of Riya.

Driven by a deep passion for data science and an innate problem-solving ability, Riya has always aspired to make a meaningful impact in the field. After completing her studies, she faced a crucial decision - job offers as a data scientist in India and the UK. Although she cherished her roots in India and its thriving tech scene, the allure of a higher salary in the UK enticed her with the promise of financial stability and advancement. After much contemplation, Riya mustered the courage to embark on a new chapter and accepted the data scientist position in the UK. As Riya settled into her new role, she thrived in the dynamic environment of the UK. Surrounded by cutting-edge technologies, innovative projects, and a supportive team, she embraced the challenges and grew professionally.

Over the years, Riya's decision to choose the UK for her data scientist job proved transformative. She became a respected figure in the field, an inspiration for aspiring data scientists, and an advocate for diversity and inclusion. Her success story showcased the power of determination and stepping outside one's comfort zone to achieve remarkable milestones. While the allure of a higher salary played a role, ultimately, the promise of growth, opportunity, and the chance to make a lasting impact led Riya to choose the UK for her data scientist career.

We now know that the UK provides superior career prospects and more attractive remuneration for data professionals compared to India. Let us now explore their precise roles and responsibilities.

Table of Contents

Data scientist salary in uk, top 5 cities with the highest pay for data scientists in the uk, data scientist salaries across various levels, comparison with data scientist salaries in india and uk.

The industry recruits data scientists for various roles with varying pay scales. For instance, professionals start as junior data scientists and get promoted in one to two years, provided they display a remarkable and dedicated work record. Irrespective of the role, data scientists are usually assigned to particular projects to meet organizational goals.

The base salary of data scientists in UK is estimated at GBP 50,468 as per Indeed.com. The profession has rapid growth opportunities. Professionals might see themselves handling a dedicated team a couple of years after joining as they are ranked up to senior data scientist and, ultimately, team leader.

Some of the most popular cities for data scientists looking to start or restart their career in the UK, along with expected remuneration, are as follows.

*As per Indeed.com

Budding data scientists can also choose cities like Oxford, Bristol or Newcastle upon Tyne to secure high-paying roles.

Having completed their bachelor’s in data science, applicants are more likely to secure entry roles as data scientists. Assuming that these professionals have some internship experience and a total experience of under 1 year, they can receive a standard payment plus specific bonuses.

Hence, the salary for data scientist freshers in the UK is usually GBP 34,548, as per Payscale. 

After working for a few years in the industry and acquiring an experience of up to four years, the pay scale changes. At this point, the data scientist’s salary in the UK is estimated to be GBP 41,072. 

Since the role of a data scientist is scalable with significant opportunities for growth, the pay increases to GBP 50,969 when a professional is equipped with five to nine years of experience. 

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Data science is an integral upcoming field comprising several in-demand skills in the industry. Hence, the average pay for a data scientist in India is INR 13,41,394 (GBP 13,391) annually. Renowned corporations like ASL also recruit data scientists.

On the other hand, the data scientist salary in the UK for entry-level roles is GBP 50,468. This value is significantly higher than its Indian counterpart. Hence, the UK is a preferred destination for data scientists looking for attractive pay packages.

Additionally, the UK is home to more diverse organizations that offer employment opportunities to data scientists. 

The field of data science is still in its infancy, waiting to be explored. Data is one of the essential elements of today’s world, and organizations rely on data-driven decisions to stay ahead of the competition.

While the pay scale for the field is attractive, a mix of computer science , mathematics and statistics may discourage many students from taking it up as a major.

As a result, the demand in the market may not be met with the existing number of professionals. Organizations keen to onboard data scientists will offer attractive pay packages and go out of their way to ensure employee retention. 

Overall, working as a data scientist in the UK is the right step for a successful career.

Are data scientists in demand in the UK?

Owing to their technical expertise in mathematics, computer science and statistics, there are around 5,007 job postings for the role in the UK. The organizational reliance on big data and analytics promises to drive this demand further and increase the base salaries of these professionals.

Can I become a data scientist in London without experience?

Completing a dedicated bachelor’s or master’s program in data science makes you eligible to work as a data scientist in London. Without prior experience, you will be directed to an entry-level role. You can learn on the job and gain experience to get promoted to more senior positions.

What is a data scientist’s average salary and future?

The future for data scientists looks promising, with digital security being a primary concern. More data scientists will be employed in cybersecurity roles to help safeguard user information and prevent access to cyber criminals. While the average data scientist salary in the UK is GBP 50,468, it is projected to increase with time.

She is an experienced writer and journalist who has extensively covered the education sector in India and Abroad. Now helping Indian aspirants realise their foreign education dream by providing them with relevant content and information through upGrad Abroad. Amateur traveller, loves to read Architectural Digest!

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