Data Science Salaries From Entry-Level to Executives in the UK
Data Science is one of the most sought-after skill sets today across the globe. As a result, the demand for data science professionals is increasing. According to the Bureau of Labour Statistics, the number of career paths to be filled in the Data Science domain will grow 20 to 25% by the end of this decade.
How much is the Data Science salary, and what do professionals expect to make, especially entry-level? Some entry-level data science professionals make twice as much as others, but it is unclear why.
In this article, we will learn more about data science salaries—from entry-level to executive—and the different factors affecting them.
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Table of Contents
- What is Data Science Salary?
- Entry-Level Data Science Salary in the UK
- Mid-Level Data Science Salary in the UK
- Senior Data Science Salary in the UK
- Factors Influencing Data Science Salaries
- Conclusion
- FAQs
What is Data Science Salary?
Data Science has emerged as one of the most promising career paths in the modern era of technology. The demand for data scientists has grown exponentially with the rapidly increasing production of data and the increasing dependence on data-driven decision-making across industries.
The Data Science career path can be both analytically challenging and satisfying and can lead to the development of new technological advances.
Data Science professionals will be accountable for analysing and interpreting complex data sets, making critical business decisions, and meeting strict deadlines, all while staying up to date with the latest technology and techniques in this field. It can be difficult to accurately represent the data science salary as it massively depends on the role, organisation, professional skills, and experience.
Data Science professionals are among the highest-paid professionals in today’s technical sectors. The data science salary varies depending on the individual’s experience, education or certification, company size and location and more.
Data science encompasses subdomains such as machine learning, deep learning, and artificial intelligence. The top jobs in data science belong to:
- Data analysts,
- Data scientists,
- Data engineers,
- Data architects,
- Database administrators,
- Machine learning engineers and
- Business intelligence developers.
According to various sources, including PayScale, LinkedIn, and Glassdoor, the average salary for Data Science professionals in London, United Kingdom, ranges from £30K to £ 86K per year. London is the highest-paying city in the United Kingdom, with an average salary of £53K annually.
Here are some related career paths, along with the Data Science Salary packages per annum.
| Data Science Career Path | Data Science Salary |
| Data Analyst | £37,838 per year |
| Data Science Intern | £40,581 per year |
| Big Data | £49,591 per year |
| Quantitative Analyst | £77,464 per year |
Entry-Level Data Science Salary in the UK
The average salary for Data Science professionals in London, United Kingdom, is £32K. However, This salary package may depend on the company’s location and reputation.
Mid-Level Data Science Salary in the UK
The average salary for Data Science professionals with 4 to 6 years of experience in London, United Kingdom, is £72K per year. However, This Data Science salary package may depend on the company’s location and reputation.
Senior Data Science Salary in the UK
The average salary for Data Science professionals with 10 to 14 years of experience in London, United Kingdom, is £86K per year. However, This Data Science salary package may depend on the company’s location and reputation.
Factors Influencing Data Science Salaries
The best-paid career paths in Data Science depend on an individual’s specialisation, experience, and more. Data Science Salary may vary significantly for a number of reasons.
The key factors affecting the salary are skills, location, experience, specialisation, and more. Many entry-level data science professionals earn more than six figures. However, this data science salary can vary greatly depending on some of the major factors listed below.
- By Education Level
Education plays an important role in all professionals. According to the recruitment analysis, more than 95% of Data scientists hold postgraduate degrees. More organisations globally are hiring professionals with both bachelor’s degrees, and those with master’s degrees are in the majority. However, the entry-level salaries for data science professionals with doctorates are higher than those who have only bachelor’s degrees.
| Level Of Experience | |
| Level | Experience |
| Entry-Level Data Science Professionals | 0-5 years |
| Mid-Level Data Science Professionals | 5-12 years |
| Senior-Level Data Science Professionals | 12- 20 years or more. |
- By Location
Data Science professionals can expect to see some variations in their salaries with different locations. As mentioned above, London is the highest-paying city in the United Kingdom.
Highest paying cities for Data Scientists near London are:
| By Location | |
| Job Location | Data Science Salary |
| Ilford | £37,858 per year |
| Greenwich | £44,292 per year |
| Uxbridge | £57,210 per year |
| London | £60,142 per year |
| West London | £63,142 per year |
- By Job Profile
Data Science professionals can expect to see some variations in different roles or positions. Here is the average compensation for an entry-level position for a variety of career paths.
| Annual Entry-Level Compensation By Job Profile | |
| Position | Average Annual Salary UK (£) |
| Junior Data Analysts | £38,132 per year |
| Quantitative Analysts | £45,500 per year |
| Data Engineer | £50,847 per year |
| Data Scientist | £51,948 per year |
| Business Analysts | £51,719 per year |
| Database Administrator | £100,000 per year |
- By Industry
The highest-paying industries at an entry level in the data science domain vary by type of industry.
| Sectors / Industries | Average Annual Salary UK (£) |
| Finance and banking | £38,049 per year |
| Manufacturing | £36,500 per year |
| Healthcare | £36,127 per year |
| Entertainment | £35,834 per year |
| Insurance | £23,313 per year |
| Technology | £30,000 per year |
Conclusion
Career opportunities in the data science domain have grown exponentially in recent years. Data Scientists are among the highest-paying professionals, but they also require more effort and responsibility. Therefore, there is a massive scope in the market, with demand for data scientists far outstripping supply.
Prepare to move up with the right data science course!
Whether you are interested in a career in data science and or looking to refresh your skills, you are in the right place.
Digital Regenesys is one of the leading ed-tech platforms providing career-transforming, skill-enhancing, and cutting-edge online courses across various digital domains
Visit our website at Digital Regenesys Data Science Course, and learn the right skills you need from industry experts, who will give you opportunities to practice skills along with the real-world application of Data Science, the tools and techniques taught by industry experts.
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Frequently Asked Questions: Data Science Salaries From Entry-Level to Executives in The UK.
1) Is the Data Science job challenging?
Yes. Data science is undoubtedly a high-pressure and challenging professional field. But while data science can be stressful, it can also be gratifying.
2) What is the duration of Digital Regenesys’s data science course?
The duration of Digital Regenesys’s Data science course is 30 weeks.
3) What are the responsibilities of Data science professionals?
Data science professionals have a great deal of responsibility. They usually deal with large, complex data sets to discover hidden insights and patterns in data to inform business decision-making, which is a critical responsibility to shoulder.
4) Which is the highest-paying industry in the data science domain?
According to the research, the highest-paying industries in data science are Manufacturing, Finance and insurance, and Professional Services.
5) What challenges are faced by Data science professionals?
The technical challenges, continuous learning, and responsibility for guiding critical business decisions can add to the anxiety that comes with data science jobs.
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