Salary of a Data Scientist in Spain 2025

If you are thinking of taking the leap into the world of data science or are already a professional in the sector, this is your blog.

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26/6/2025
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MBIT DATA School

If you are thinking of taking the leap into the world of data science or you are already a professional in the sector, you have surely wondered how much you can actually earn as a Data Scientist in Spain. And let's be honest, although we are passionate about working with data and algorithms, we also want to know if our bank account is going to be happy with this professional decision.

The good news is that Data Science remains one of the most promising sectors in the Spanish labor market, with salaries that can make you rethink the marketing career you had in mind. But as with everything, there are nuances, differences and factors that can cause your salary to vary considerably.

How much does a Data Scientist actually earn in Spain?

Let's get to the point. The average salary of a Data Scientist in Spain is around 38,700 euros gross per year, which translates into about 2,100 euros net per month. But before you take out the calculator to see if it's enough for that apartment in the center, let me tell you that this figure is just the starting point.

The reality is that salaries in this sector have a fairly wide range. You can start charging 26,500 euros per year if you are a junior, but you can also exceed 85,000 euros per year if you have experience and work in the right sector. That is, we are talking about a difference of more than triple between the minimum and the maximum.

Other sources place the salary range between 45,000 and 80,000 euros per year, which gives us an idea that, in fact, there is a lot of variability depending on multiple factors that we will see below.

The experience factor: from junior to senior

Junior Profile (1‑3 years of experience)

If you have just left the bootcamp or master's degree and have little practical experience, you can expect a salary that ranges from 30,000 and 40,000 euros gross per year. It's not bad to start with, especially if you compare it to other sectors, but it won't allow you to buy that Tesla you saw in the ad either.

Mid‑level profile (3‑5 years of experience)

This is where things get interesting. With a few years of experience behind you, your salary can be between 45,000 and 60,000 euros per year. You're already starting to notice the difference in your checking account and you can afford some whims without looking at the price.

Senior Profile (+5 years of experience)

Industry veterans are the ones who really hit the jackpot. With more than five years of experience, you can aim to more than 70,000 euros gross per year, and in some cases, especially in sectors such as banking and finance, you can reach 80,000 euros.

The most experienced, with more than ten years in the sector, can reach 75,500 euros per year, while those with more than twenty years of experience can reach 62,300 euros. Yes, you read that right: sometimes having too much experience can work against you if you don't know how to sell yourself well.

Location matters (and a lot)

Working as a Data Scientist in Madrid is not the same as in Cuenca. The geographical differences in Spain are significant, and this is directly reflected in your payroll.

Madrid and Barcelona they are the cities that pay the best, with salaries that can be 15-20% higher than the national average. In these cities, senior profiles can easily reach 45,000 euros per year, while in Valencia or Aragón salaries are between 25,000 and 30,000 euros.

The good news is that teleworking is changing the rules of the game. More and more companies are offering the possibility of working remotely, which means that you can access salaries in Madrid while living in a cheaper city. Not a bad strategy, is it?

The sector makes a difference

Finance and banking

This is the sector that pays the best. The complexity of financial analysis and the critical importance of data in these companies make them willing to pay premium salaries. Senior profiles can reach 80,000 euros per year.

Technology and informatics

Tech companies and startups also offer competitive salaries, especially if you work on projects related to artificial intelligence or Machine learning.

Marketing and advertising

The analysis of consumer behavior and the personalization of campaigns have made this sector also highly value Data Scientists.

E-commerce and Retail

Inventory optimization and sales forecasts are areas where data scientists can bring a lot of value, and companies recognize this with good salaries.

The highest-paying skills

Programming languages

Python He is the undisputed king and can increase your salary by 5%. If you also master their main libraries such as pandas, Numpy and Scikit‑Learn, better than better.

SQL remains essential for any work with databases.

Tools of Big Data

To know Apache Hadoop can increase your salary by up to 8%. Not bad for learning a tool, is it?

Machine Learning

Have solid knowledge in Machine learning can contribute an extra 4% to your salary. Considering that it is one of the most demanded areas, it is worth investing time in training.

Data visualization

Tools such as Tableau, Power BI or Matplotlib are highly valued because, in the end, there's no use doing a brilliant analysis if you don't know how to communicate the results.

Technologies Cloud

Certifications on AWS, Azure or Google Cloud Platform are increasingly in demand and can be an important differentiator.

Beyond Technical Skills

Although you may be a crack at programming in Python, if you don't know how to explain your results to a manager who doesn't even know what a variable is, your career could stall.

Las Soft Skills as communication skills, critical thinking and leadership are increasingly valued. Data Scientists who know how to translate complex data into Insights actionable for the business tend to access more strategic and higher-paying positions.

International comparison: how are we?

To put things into perspective, let's see how Spain positions itself in the international context.

United States It is still a paradise for Data Scientists, with salaries ranging from 4,730 to 10,900 euros per month, with an average of 8,300 euros. Yes, it's to cry a little.

In Europe, countries such as Germany offer salaries between 61,000 and 75,000 euros per year, the United Kingdom between 55,000 and 85,000 euros, and France between 50,000 and 70,000 euros.

In Latin America, salaries are lower: Argentina is around 1,230 euros per month, while Chile and Colombia are around 1,200 euros per month.

Bonuses and additional benefits

Base pay isn't the only thing that counts. Many companies offer bonuses that range from 540 to 14,800 euros per year, which can represent an extra 30 to 800 euros per month.

In addition, many companies in the tech sector offer benefits such as private health insurance, continuous training, flexible hours and, of course, the possibility of teleworking.

Future Perspectives

The Data Science sector shows no signs of slowing down. The digital transformation of companies, the rise of artificial intelligence and the growing importance of data in business decision-making ensure that the demand for these professionals continues to grow.

This means that, if you play your cards right and keep training, the salary prospects are very promising. The key is to keep up to date with the latest technologies and not neglect soft skills.

Is it worth it?

After analyzing all this data (never better said), the answer is a resounding yes. Being a Data Scientist in Spain in 2025 remains a safe bet both in terms of job stability and remuneration.

Of course, as in any profession, success doesn't come alone. You need to train continuously, specialize in the most demanded technologies and develop those communication skills that allow you to shine in meetings with bosses.

If you're thinking about taking the leap, now's a good time. The market is mature, there is demand and salaries are competitive. Just make sure you choose your training well and that you bet on the skills that the market really demands.

In the end, as any good Data Scientist would say: data doesn't lie, and in this case, they tell us that it's a profession with a future.

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If you are thinking of taking the leap into the world of data science or you are already a professional in the sector, you have surely wondered how much you can actually earn as a Data Scientist in Spain. And let's be honest, although we are passionate about working with data and algorithms, we also want to know if our bank account is going to be happy with this professional decision.

The good news is that Data Science remains one of the most promising sectors in the Spanish labor market, with salaries that can make you rethink the marketing career you had in mind. But as with everything, there are nuances, differences and factors that can cause your salary to vary considerably.

How much does a Data Scientist actually earn in Spain?

Let's get to the point. The average salary of a Data Scientist in Spain is around 38,700 euros gross per year, which translates into about 2,100 euros net per month. But before you take out the calculator to see if it's enough for that apartment in the center, let me tell you that this figure is just the starting point.

The reality is that salaries in this sector have a fairly wide range. You can start charging 26,500 euros per year if you are a junior, but you can also exceed 85,000 euros per year if you have experience and work in the right sector. That is, we are talking about a difference of more than triple between the minimum and the maximum.

Other sources place the salary range between 45,000 and 80,000 euros per year, which gives us an idea that, in fact, there is a lot of variability depending on multiple factors that we will see below.

The experience factor: from junior to senior

Junior Profile (1‑3 years of experience)

If you have just left the bootcamp or master's degree and have little practical experience, you can expect a salary that ranges from 30,000 and 40,000 euros gross per year. It's not bad to start with, especially if you compare it to other sectors, but it won't allow you to buy that Tesla you saw in the ad either.

Mid‑level profile (3‑5 years of experience)

This is where things get interesting. With a few years of experience behind you, your salary can be between 45,000 and 60,000 euros per year. You're already starting to notice the difference in your checking account and you can afford some whims without looking at the price.

Senior Profile (+5 years of experience)

Industry veterans are the ones who really hit the jackpot. With more than five years of experience, you can aim to more than 70,000 euros gross per year, and in some cases, especially in sectors such as banking and finance, you can reach 80,000 euros.

The most experienced, with more than ten years in the sector, can reach 75,500 euros per year, while those with more than twenty years of experience can reach 62,300 euros. Yes, you read that right: sometimes having too much experience can work against you if you don't know how to sell yourself well.

Location matters (and a lot)

Working as a Data Scientist in Madrid is not the same as in Cuenca. The geographical differences in Spain are significant, and this is directly reflected in your payroll.

Madrid and Barcelona they are the cities that pay the best, with salaries that can be 15-20% higher than the national average. In these cities, senior profiles can easily reach 45,000 euros per year, while in Valencia or Aragón salaries are between 25,000 and 30,000 euros.

The good news is that teleworking is changing the rules of the game. More and more companies are offering the possibility of working remotely, which means that you can access salaries in Madrid while living in a cheaper city. Not a bad strategy, is it?

The sector makes a difference

Finance and banking

This is the sector that pays the best. The complexity of financial analysis and the critical importance of data in these companies make them willing to pay premium salaries. Senior profiles can reach 80,000 euros per year.

Technology and informatics

Tech companies and startups also offer competitive salaries, especially if you work on projects related to artificial intelligence or Machine learning.

Marketing and advertising

The analysis of consumer behavior and the personalization of campaigns have made this sector also highly value Data Scientists.

E-commerce and Retail

Inventory optimization and sales forecasts are areas where data scientists can bring a lot of value, and companies recognize this with good salaries.

The highest-paying skills

Programming languages

Python He is the undisputed king and can increase your salary by 5%. If you also master their main libraries such as pandas, Numpy and Scikit‑Learn, better than better.

SQL remains essential for any work with databases.

Tools of Big Data

To know Apache Hadoop can increase your salary by up to 8%. Not bad for learning a tool, is it?

Machine Learning

Have solid knowledge in Machine learning can contribute an extra 4% to your salary. Considering that it is one of the most demanded areas, it is worth investing time in training.

Data visualization

Tools such as Tableau, Power BI or Matplotlib are highly valued because, in the end, there's no use doing a brilliant analysis if you don't know how to communicate the results.

Technologies Cloud

Certifications on AWS, Azure or Google Cloud Platform are increasingly in demand and can be an important differentiator.

Beyond Technical Skills

Although you may be a crack at programming in Python, if you don't know how to explain your results to a manager who doesn't even know what a variable is, your career could stall.

Las Soft Skills as communication skills, critical thinking and leadership are increasingly valued. Data Scientists who know how to translate complex data into Insights actionable for the business tend to access more strategic and higher-paying positions.

International comparison: how are we?

To put things into perspective, let's see how Spain positions itself in the international context.

United States It is still a paradise for Data Scientists, with salaries ranging from 4,730 to 10,900 euros per month, with an average of 8,300 euros. Yes, it's to cry a little.

In Europe, countries such as Germany offer salaries between 61,000 and 75,000 euros per year, the United Kingdom between 55,000 and 85,000 euros, and France between 50,000 and 70,000 euros.

In Latin America, salaries are lower: Argentina is around 1,230 euros per month, while Chile and Colombia are around 1,200 euros per month.

Bonuses and additional benefits

Base pay isn't the only thing that counts. Many companies offer bonuses that range from 540 to 14,800 euros per year, which can represent an extra 30 to 800 euros per month.

In addition, many companies in the tech sector offer benefits such as private health insurance, continuous training, flexible hours and, of course, the possibility of teleworking.

Future Perspectives

The Data Science sector shows no signs of slowing down. The digital transformation of companies, the rise of artificial intelligence and the growing importance of data in business decision-making ensure that the demand for these professionals continues to grow.

This means that, if you play your cards right and keep training, the salary prospects are very promising. The key is to keep up to date with the latest technologies and not neglect soft skills.

Is it worth it?

After analyzing all this data (never better said), the answer is a resounding yes. Being a Data Scientist in Spain in 2025 remains a safe bet both in terms of job stability and remuneration.

Of course, as in any profession, success doesn't come alone. You need to train continuously, specialize in the most demanded technologies and develop those communication skills that allow you to shine in meetings with bosses.

If you're thinking about taking the leap, now's a good time. The market is mature, there is demand and salaries are competitive. Just make sure you choose your training well and that you bet on the skills that the market really demands.

In the end, as any good Data Scientist would say: data doesn't lie, and in this case, they tell us that it's a profession with a future.

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