Data Scientist Salary
Data scientists extract insights from complex data using statistics and machine learning.
United Kingdom 🇬🇧
United States 🇺🇸
Salary by Experience Level
🇬🇧 United Kingdom
🇺🇸 United States
Sourced April 2026: ONS ASHE 2025, BLS OEWS 2025, LinkedIn Salary, Glassdoor. Base salary only — excludes bonus, equity, and benefits.
Data Scientist Salary by UK City
London
Greater London
£79,000
+22%
Edinburgh
Scotland
£70,000
+8%
Bristol
South West England
£70,000
+7%
Manchester
North West England
£68,000
+5%
Glasgow
Scotland
£68,000
+5%
Leeds
Yorkshire
£67,000
+3%
Birmingham
West Midlands
£66,000
+2%
Liverpool
Merseyside
£66,000
+2%
Newcastle
North East England
£66,000
+1%
Cardiff
Wales
£65,000
avg
Skills That Increase Data Scientist Salary
Candidates with demonstrable expertise in these skills — particularly those that require formal certification or specialist experience — typically receive offers in the upper quartile of the salary range. At senior level, the ability to combine technical proficiency with business stakeholder management commands the highest premium.
What Determines a Data Scientist's Salary?
Beyond experience level, several factors shape where in the salary range a Data Scientist lands. Understanding these gives you a stronger foundation for negotiation.
Employer size and sector
Large corporates and well-funded businesses typically pay above the median. In the UK, technology roles at FTSE 100 companies or major financial services firms routinely sit in the upper half of the published salary range, while SMEs may offer more scope for responsibility but track closer to the median.
Location
London salaries for Data Scientists run approximately 22% above the UK national average. Major regional hubs like Manchester, Edinburgh, and Bristol offer 5–8% above average, while cities like Cardiff and Newcastle track at or near the median. City-specific salary data is available in the regional guides listed below.
Specialist skills and qualifications
Depth in the highest-demand skills — particularly Python/R and Machine Learning — carries a measurable salary premium. Formally certified or credentialed practitioners typically receive offers 10–20% above generalists at the same experience level.
Total compensation structure
Base salary is only part of the picture. Annual bonuses (common in technology roles at larger employers), pension contributions, equity, and flexible benefits can add 15–40% to total compensation. When comparing offers, always model the full package — not just the headline salary.
Data Scientist Salary — FAQs
What is the average Data Scientist salary in the UK?
The median Data Scientist salary in the UK is £65,000 per year (2026), based on ONS ASHE 2025 data, LinkedIn Salary Insights UK, Glassdoor, and Reed.co.uk. The full range runs from £38,000 at the lower end to £105,000 for the most experienced or specialist Data Scientists. Junior-level roles (0–2 years experience) typically start at £40,000, rising to £57,000 at mid-level and £85,000 at senior level.
How does a Data Scientist salary in the UK compare to the US?
The UK median Data Scientist salary (£65,000) is typically lower than the US equivalent (US$130,000), which reflects differences in market size, employer concentration, and total compensation structures. However, UK employees generally receive more statutory benefits — including holiday entitlement, pension auto-enrolment, and NHS healthcare — that partially offset the headline gap. UK salaries also vary significantly by city: London typically runs 20–25% above the national median, while salaries in cities like Cardiff or Newcastle track closer to the average.
What skills increase a Data Scientist's salary?
The skills that most reliably increase Data Scientist compensation are Python/R, Machine Learning, Statistics, SQL, Data Visualisation. Candidates who can demonstrate depth in the most in-demand of these — particularly those requiring specialist training or certification — typically command offers in the upper third of the salary range. For senior roles, leadership capability, the ability to manage stakeholders at board level, and a track record of quantified business impact carry the highest premium.
How do I negotiate a higher Data Scientist salary?
Effective salary negotiation for Data Scientist roles follows a consistent pattern: (1) never give the first number — let the employer anchor; (2) base your target on current market data (this guide, Glassdoor filtered to your city, and LinkedIn Salary); (3) state a specific figure rather than a range — ranges anchor to the lower end; (4) negotiate the total package, not just base salary — bonus, pension, equity, and flexibility all have monetary value; (5) get any agreed offer in writing before resigning from your current role. For experienced Data Scientists, aiming for the upper third of the range — around £71,000 — is a credible, evidence-backed starting position.
Does a Data Scientist salary include bonus and benefits?
The figures on this page represent base salary only — they exclude annual bonus, pension contributions, equity or share schemes, healthcare, and other benefits. In practice, total compensation for a Data Scientist role can significantly exceed the base salary figure depending on the employer and sector. Technology roles at large companies or in sectors such as financial services and technology frequently include annual bonuses of 10–30% of base, employer pension contributions, and in some cases equity that can materially increase total package value. Always negotiate on total compensation, not just headline salary.
Data Sources & Methodology
Data Scientist salary data is sourced from ONS Annual Survey of Hours and Earnings (ASHE) 2025, Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS) 2025, LinkedIn Salary Insights UK and US, Glassdoor salary data, and Reed.co.uk regional salary reports. Figures represent base salary at the 50th, 25th, and 75th percentile for each experience band. Data updated April 2026. All figures are estimates — individual salaries vary materially by employer, location, specialisation, negotiation, and market conditions.