How Much Does a Data Scientist Make?

Data Scientist salaries vary considerably by location, experience, sector and technical expertise. In the UK, salaries commonly range from £40,000 to £90,000+, with entry-level roles starting below this and senior positions exceeding it.

Junior roles can start below £30,000, while senior specialists reach £70,000 to £95,000 and senior leads can exceed £100,000. The reason is the scope of the role: some positions centre on analysis and statistical modelling, while others demand advanced machine learning, AI or research expertise.

Qualifications and sector widen that gap further. Postgraduate study carries greater weight in specialist roles, and financial services and fintech pay some of the strongest salaries in the market.

Data Scientist Salary by Experience Level

Experience	Typical UK salary
0 to 3 years	£28,000 to £45,000
4 to 9 years	£43,000 to £65,000
10+ years	£65,000 to £100,000+

The figures above provide a benchmark for Data Scientist salaries in the UK. 

Salary ranges vary by market, but experience, technical capability and role scope remain important factors wherever you work.

In the UK, an entry-level Data Scientist salary typically ranges from £28,000 to £45,000. By mid-career, the range rises to approximately £43,000 to £65,000 as experience and technical capability develop.

Senior salaries vary more sharply. Specialists with five to ten or more years of experience can earn £70,000 to £95,000, while senior leads can earn more than £100,000. Expertise in AI, LLMs and cloud machine learning can raise salaries further.

The US Bureau of Labor Statistics reports a median annual salary of $120,230 for Data Scientists, based on May 2025 data. The lowest 10% earn below $67,240, while the highest 10% earn more than $199,130, showing how widely salaries can vary across the market.

Years of experience only provide a benchmark. A Senior Data Scientist does not need ten years in the field, and employers use titles such as Senior, Lead and Principal differently. Technical depth, qualifications, sector, location and the scope of the role all affect where someone falls within the wider salary range.

Indeed puts the average at around £55,600, while PayScale reports approximately £41,800. These figures differ from both recruitment-led salary data and US benchmarks because the sources capture different parts of the market. 

For candidates benchmarking their salary, comparing the right market, experience level and role scope gives a clearer picture than a national average alone.

Does a Master’s Degree Increase Data Scientist Salary?

A master’s degree can improve access to higher-paid Data Science roles that require advanced statistics, machine learning, or research expertise.

The value comes from the technical depth these roles demand. An MSc or PhD can prepare you for work in advanced modelling, experimentation and research, where specialist expertise carries greater weight.

In more applied Data Science roles, employers place greater emphasis on technical ability and experience. Strong Python, SQL and machine learning skills, backed by evidence of solving real problems with data, can support progression into higher salary bands.

If salary progression is your reason for considering postgraduate study, look at the roles you want to move into and the expertise they require. Further study has the strongest case when it gives you access to specialist work that would otherwise be difficult to enter.

How Does Industry Affect a Data Scientist’s Salary?

Financial services and fintech offer some of the highest Data Scientist salaries, with some roles paying up to 30% more than standard technology rates.

Banks, investment firms, payments businesses, insurers and fintech companies use Data Science across credit risk, fraud detection, pricing, forecasting and customer modelling. This work directly influences revenue, risk and investment decisions, increasing the value of specialist expertise.

Technical specialism can add another premium. AI and LLM skills can increase pay by roughly 20%, making the combination of specialist expertise and a high-paying sector particularly valuable.

E-commerce also offers strong opportunities for Data Scientists working in recommendations, personalisation, experimentation, forecasting and pricing. Consultancies value professionals who can apply their technical expertise across different datasets and business problems, then explain their findings clearly to clients.

Sector can change what the same level of experience is worth. A Data Scientist applying machine learning to financial risk may have similar years of experience to one building retail forecasting models, but the salary attached to each role can differ significantly.

How Does Location Affect Data Scientist Salaries?

Location can significantly affect Data Scientist salaries. In the UK, Glassdoor puts the average Data Scientist salary in London at around £61,000, placing the 25th percentile at around £46,500 and the 75th percentile at approximately £83,000, with top earners exceeding £111,000.

In the US, Glassdoor puts median total pay for a Data Scientist in New York City at around $173,000, with a typical total pay range of approximately $133,000 to $228,000. These figures include additional pay and base salary, so they should not be compared directly with UK base salary benchmarks.

Location is only one part of the picture. Sector, technical specialism, experience, and role scope can all significantly influence what a Data Scientist earns.

 

Data Scientist Salary vs Related Roles

Data Scientists generally earn more than Data Analysts, while Data Scientist and AI Engineer salary ranges can overlap considerably.

Data Analysts typically focus on interpreting data, identifying trends and producing insight that informs business decisions. Data Scientists bring greater emphasis on statistics, programming, predictive modelling and machine learning, which contributes to a higher salary range.

AI Engineer salaries can reach similar levels, but the drivers of pay differ. For Data Scientists, qualifications, statistical depth and research expertise have a stronger influence. AI Engineer salaries are more closely linked to experience building, deploying and maintaining AI systems in production.

When comparing these roles, look at the technical requirements and responsibilities alongside the salary attached to the job title.

How to Increase Your Data Scientist Salary

Specialist expertise is one of the clearest routes to a higher Data Scientist salary.

Developing skills in machine learning, generative AI and LLMs can increase what employers are willing to pay. Cloud expertise in platforms such as SageMaker and Azure ML can raise salaries too, while postgraduate study can open the door to research-heavy and technically specialised roles. Financial services and fintech offer another route to higher salary bands.

Your experience should also show what your Data Science work achieved. Put the outcome alongside the model: a more accurate forecast, lower fraud losses, higher conversion or better pricing gives employers a clear measure of your contribution.

Technical depth gets you into higher-paying work. Evidence of what you have done with it strengthens your case when benchmarking or negotiating salary.

Summary and Key Takeaways

• Data Scientist salaries vary significantly by market and experience. In the UK, salaries commonly range from £40,000 to £90,000+, while the US median is around $120,000.
• Qualifications carry greater weight in higher-paid specialist roles, particularly in advanced statistics, machine learning and research.
• Industry and location both influence earning potential, alongside technical expertise and the scope of the role.
• Explore how to become a Data Scientist for the career path, or what a Data Scientist does for a closer look at the role and its responsibilities.

Frequently Asked Questions

What is the average Data Scientist salary?

Average Data Scientist salaries vary by market. In the UK, Indeed reports around £55,600, while PayScale puts the figure closer to £41,800. In the US, the Bureau of Labor Statistics reports a median annual salary of around $120,000. Salary sources use different methodologies, so experience, sector, qualifications, location and role scope provide important context when comparing pay.

Do you need a master’s degree to earn a high Data Scientist salary?

No. Postgraduate study can improve access to specialist roles that require advanced statistics, machine learning, or research expertise. Data Scientists can also reach higher salary bands through strong technical skills and relevant professional experience, particularly in more applied roles where postgraduate qualifications carry less weight.

How much does a junior or entry-level Data Scientist earn?

Entry-level salaries vary by market, sector and technical requirements. In the UK, an entry-level Data Scientist salary typically ranges from £28,000 to £45,000. In the US, salaries are typically higher, although the exact range varies considerably by location and employer. Positions requiring stronger statistical modelling, machine learning or programming expertise generally sit towards the upper end.

Do Data Scientists earn more than Data Analysts?

Data Scientists generally earn more than Data Analysts because the role usually requires deeper expertise in statistics, programming and machine learning. Salary ranges can overlap between senior Data Analysts and junior Data Scientists, so compare the technical requirements and responsibilities of the roles alongside their job titles.