Key Takeaways
- Data Scientists earn significantly more than Data Analysts in both the UK and EU.
- Entry into data analytics is easier, but moving into data science offers higher pay and influence.
- In the UK (2025):
- Data Analyst: £28K–£65K
- Data Scientist: £45K–£120K+
- In Germany, Netherlands, France, and Ireland, similar trends follow with data scientists always earning more.
- In-demand skills: SQL, Python, machine learning, Tableau, Power BI, deep learning, Spark.
- Fortray offers job-focused programs to help both IT and non-IT professionals enter or grow in this field—with real-world projects and placement support.
The demand for data professionals has exploded over the past decade, and in 2025, the momentum shows no signs of slowing down. Across the UK and Europe, organisations are making serious investments in data teams to navigate volatile economies, embrace emerging technologies, and meet the demands of an increasingly digital consumer base. As companies become more data-savvy, two roles frequently top the hiring charts: Data Analysts and Data Scientists.
At the same time, forward-thinking professionals are turning to structured reskilling options like Fortray’s Data Analyst career change programs, which are designed to help both IT and non-IT individuals transition into high-demand roles in analytics and data science. With the average data analyst salary in the UK steadily rising, and data scientist job trends in 2025 pointing to exponential growth, many career switchers and graduates are asking the big question: Which role pays more – Data Analyst or Data Scientist – in the UK and EU?
The answer, like most things in data, depends on several variables—including industry, skill level, geography, and company size. However, current hiring trends clearly indicate a widening salary gap and distinct career growth trajectories for each.
Understanding the Roles: Analyst vs. Scientist
Before jumping into salary comparisons, let’s clarify what each role typically involves:
- Data Analysts are professionals who interpret data and turn it into actionable insights using tools like Excel, SQL, Tableau, Power BI, and Python. They clean, process, and visualise data, helping organisations make informed decisions based on trends and patterns. Their work is often focused on reporting and business intelligence.
- Data Scientists, on the other hand, work at a more advanced level. They use machine learning models, statistical algorithms, and large-scale data processing tools (like Apache Spark, TensorFlow, and PyTorch) to solve complex problems. Their work includes predictive modelling, automation, and designing data products.
While there’s some overlap in foundational skills, the two roles differ significantly in depth, complexity, and scope of influence—especially when it comes to salaries.
Data Analyst Salary in the UK – 2025 Outlook
In the UK, the average data analyst salary ranges from £32,000 to £50,000 per year, depending on experience, industry, and location. Entry-level analysts typically earn between £28,000 to £35,000, while those with 3–5 years of experience can command up to £50,000 or more.
London, unsurprisingly, offers the highest salaries due to the density of fintech, healthcare, and e-commerce giants. According to Glassdoor and Harnham’s 2025 UK Data Salary Guide:
- Junior Data Analyst (0–2 years): £28,000 – £35,000
- Mid-level Analyst (3–5 years): £38,000 – £50,000
- Senior/Lead Analyst (5+ years): £50,000 – £65,000+
Top-paying industries include banking, pharmaceuticals, logistics, and energy, where real-time insights are mission-critical. Notably, analysts with strong SQL, Python, and dashboarding skills (especially those proficient in Power BI and Tableau) are earning up to £ 10,000 more than their peers with only Excel-based capabilities.
Data Scientist Salary in the UK – 2025 Outlook
Data Scientists in the UK are in significantly higher demand, with the shortage of skilled talent driving up salaries. According to Robert Half and Hays Technology, the average data scientist salary in the UK in 2025 ranges between £50,000 and £90,000, with top-tier roles exceeding £120,000 in senior or lead positions.
Here’s a breakdown:
- Entry-Level Data Scientist (0–2 years): £45,000 – £60,000
- Mid-level (3–5 years): £60,000 – £80,000
- Senior/Lead/Principal Roles: £90,000 – £120,000+
Data scientists in London, Manchester, and Edinburgh are especially well-compensated, particularly in AI-heavy sectors such as finance, health tech, and autonomous mobility. Skills such as deep learning, NLP (Natural Language Processing), cloud architecture, and experience with big data frameworks (like Hadoop and Spark) can lead to significant salary boosts.
Comparing Salaries Across Europe
In the European Union, salary trends follow a similar pattern. Data Scientists command higher paychecks across the board. Here’s a snapshot of salary data from the EU’s largest markets in 2025:
Germany
- Data Analyst: €40,000 – €65,000
- Data Scientist: €60,000 – €100,000
Netherlands
- Data Analyst: €38,000 – €58,000
- Data Scientist: €55,000 – €95,000
France
- Data Analyst: €35,000 – €55,000
- Data Scientist: €50,000 – €90,000
Ireland
- Data Analyst: €42,000 – €60,000
- Data Scientist: €60,000 – €95,000
The data analyst salary range is narrower in continental Europe compared to the UK, but the data scientist role continues to widen the gap due to increased investment in AI, robotics, and real-time analytics. In particular, Germany’s automotive and manufacturing sector, and the Netherlands’ tech startup ecosystem, are aggressively hiring data scientists at competitive rates.
Data Scientist Job Trends 2025 – Why the Role Is Gaining Momentum?
Several key trends are contributing to the continued boom in data scientist roles across the UK and Europe:
- AI Integration: Businesses are moving from simple dashboards to predictive analytics and machine learning, making data scientists indispensable.
- Generative AI & LLMs: Tools like ChatGPT and custom AI models are being developed in-house, requiring data scientists to fine-tune and deploy AI safely.
- Real-time Decision Making: Industries like retail, supply chain, and telecom now rely on real-time insights – a space where data scientists are key.
- Data Monetisation: Companies are no longer just using data internally; they’re selling insights, requiring more advanced modelling skills.
- Low-Code/No-Code Not Enough: While tools have simplified analysis, deep AI and statistical expertise remains essential for critical decisions – keeping data science in high demand.
Career Path and Learning Curve: Which One Should You Choose?
If you’re considering entering the data field, the choice between Data Analyst and Data Scientist should also consider your background and career goals.
- Data Analyst roles are a great entry point. If you enjoy visualisation, business strategy, and BI tools, this role offers a stable career with strong growth and clear upskilling paths (e.g., transitioning to analytics engineering or product analytics).
- Data Scientist roles demand more technical expertise – think statistics, linear algebra, Python libraries, and model evaluation. However, they also offer significantly higher salary ceilings and more opportunities to move into AI leadership, ML engineering, and R&D.
From a career transition perspective, many professionals start as analysts and move into data science roles once they’ve mastered SQL, Python, and statistical reasoning.
Final Verdict: Which Role Pays More?
When it comes to salaries, Data Scientists win—hands down. In both the UK and Europe, the average data scientist earns £20,000 to £40,000 more per year than a data analyst. This pay difference reflects the complexity, scarcity, and high-impact nature of the data science role in 2025.
However, salary should not be the only factor. Many of the most successful professionals began their careers as analysts and built strong careers through continuous learning. Your interest in business problem-solving, technical depth, and long-term goals should guide your decision.
Step Up to Change Your Career Game
Whether you aim to become a Data Analyst or a Data Scientist, 2025 is the perfect time to dive into data. The UK and EU markets are actively hiring, salaries are rising, and demand continues to outpace supply.
If you’re serious about building a career in data, invest in a structured learning path. Learn SQL, Python, statistics, visualisation, and machine learning. Fortray’s industry-focused bootcamps and traineeships offer exactly that—expert mentorship, hands-on projects, real-world case studies, and job placement support designed to help you break into the field with confidence. And guess what its all coming at a discount! Check out our offer, because in the world of data, the only direction is forward, and at Fortray, we’re ready to bet on you.
FAQs
1. What is the salary of a data analyst in the UK in 2025?
The average salary of a data analyst in the UK in 2025 ranges from £32,000 to £50,000. Entry-level analysts earn around £28,000 to £35,000, while mid-level professionals can make up to £50,000 or more. Senior analysts in top-paying industries can earn up to £65,000+.
2. How much does a data scientist earn in the UK in 2025?
In 2025, UK-based data scientists earn between £50,000 and £90,000, with top-tier professionals making £120,000 or more in senior or principal roles. Entry-level salaries start at £45,000.
3. Do data scientists earn more than data analysts?
Yes. Data scientists earn £20,000 to £40,000 more per year on average compared to data analysts, due to their advanced skills in machine learning, AI, and large-scale data processing.
4. Is it easier to become a data analyst or a data scientist?
It’s generally easier to start as a data analyst. The role focuses more on tools like Excel, SQL, Tableau, Power BI, and basic Python. Data scientist roles require advanced knowledge of statistics, machine learning, Python libraries, and big data tools.
5. Which cities in the UK pay the most for data roles?
London, Manchester, and Edinburgh offer the highest salaries for both data analysts and data scientists, especially in sectors like fintech, health tech, and e-commerce.
