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These are the average salaries for data scientists across Europe in 2022

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This one article was originally published on .cult by Louis Minvielle. .sect is a Berlin-based developer community platform. We write about all things career, create original documentaries and share countless other untold stories from developers around the world.

If you remember our previous research and analysis, you may remember a curious postulate we put forward: While their talents are in high demand, it can still be difficult for data scientists, developers and data engineers to determine their value. to know. It’s almost a brain teaser: Jobs that require their skills are expected to grow exponentially over the next three years, and highly skilled data science workers can knows a lot about Python and the nooks and crannies of data science. But in a rapidly changing market and an ever-faster industry, they may have no idea what salaries to charge in 2022.

To unravel this brain teaser, we decided to analyze our data and create this report on data science salaries in Europe. This will also help employers gain clarity about what the market looks like today Germany, Austriaand The Netherlands.

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Jump in and take a look.

Expected Salary vs Salary Offered by Company

There is almost always a difference between expectations and reality. The expected salary and salary offered for data scientists is one of those special cases. Companies offer an average of €60.8k, and talents expect a starting salary of €60k.

How salaries have evolved over the years

It’s always interesting – and important – to get a glimpse of how the average salaries offered change over the years. It helps us understand whether they are current and up-to-date, not only with other economic changes, but also compared to other jobs. Here are some takeaways:

There is an undeniable increase in salaries from 2017 to 2021. (Note that we don’t have enough data points to scrutinize salaries in 2020).

The highest salary jump between consecutive years was from 2017 at €55.3k as a rolling offer to €61k in 2018.

Salaries offered by companies in 2019 averaged around €59.3k. We suspect this was a correction due to a possible overenthusiastic turnout and the likely popularity of the track. But this slight drop appears to be an anomaly and should not be a deterrent.

Data science average salary offered per year

Salaries based on years of experience

One of the many conditioning factors to consider when deciding what to offer is years of experience.

  • There is a huge leap forward once data scientists have two full years of experience, raising salaries to $60k.
  • There is another increase once talent has four years of experience, when the average salary offered rises to €64.9k

Data Scientist Salary offered based on experience

Women earn on average 12% less than men

General, salaries offered to women across Europe are lower than those for men.

On average, companies offer men a starting salary of $62k, while offering women only $55k.

Data Scientist Salary Offered By Gender

Salary in relation to company size

We found that the highest salaries came mainly from small or large companies, while medium-sized companies offered comparable starting salaries on average.

The average offer at companies with less than ten employees is $63k, while large enterprises offer an average of $65.k.

Data Scientist Salary by Company Size

data science assistant salaries in United Kingdom

We found that the average salary offered in Germany is €61.6k.

Data Scientist 61k Germany Dark

It doesn’t matter if you are local

We found no significant difference between what companies offer to talent living in the target country compared to elsewhere in the EU, or even in the rest of the world.

  • Talent who lives locally and is native speakers receive an average of €61.7k, which is only slightly higher than other talent

Data Scientist Salary Offered by Talent Location

Methodology and conclusions

We used salaries specified by recruiting companies during the application process on the Honeypot platform as our main source of data.

We’ve removed interview invitations sent with missing information (such as job title or company location) to ensure consistent data comparison. We also removed salaries that were unusually low or high to eliminate extreme outliers. An external library was used to determine gender based on the individual’s first name.

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