Starting Salary
⌀ 53.013 €
Starting salary in the field of data science
The starting salary in the field of data science is on average 53.013 € gross per year. This corresponds to a monthly salary of 4.418 € gross.
Your chances of a higher salary increase with your work experience, as you can often take on more responsibility.
With several years of work experience in the field of data science, your average salary is 72.578 € gross per year.
With
Experience
⌀ 72.578 €
Similar Interesting Fields
As a professional in the field of data science, you have numerous specialization opportunities and related fields, such as
Computer Science , data scientist , Data Engineering ,for which you could also be qualified with your knowledge.
| Ø Gehalt | Jobs | |
|---|---|---|
| Computer Science | 54,362€ | Current jobs |
| data scientist | 60,984€ | Current jobs |
| Data Engineering | 66,413€ | Current jobs |
| big data | 60,167€ | Current jobs |
| Data Analytics | 66,493€ | Current jobs |
| data analysis | 52,932€ | Current jobs |
Show more fields
Salary in the field of data science
Specialist vs. Manager
Are you aiming for a career as a manager or do you prefer to specialize as a specialist? The salary for specialists and managers in the field of data science can serve as your first decision-making aid in choosing your career path.
Taking on personnel responsibility as a manager pays off in the field of data science. While your salary as a specialist in the field of data science averages 61.039€, as a manager it can be up to 74.546€.
Specialist
ø 61.039 €
Manager
ø 74.546 €
Salary in the field of data science
Degree vs. Apprenticeship
Whether you pursue a degree or an apprenticeship not only determines the positions you may qualify for in a company but also significantly impacts your salary. Typically, with an academic degree, your starting salary is higher than with a vocational training. However, your salary is not set in stone - through work experience and additional qualifications, you always have the opportunity to advance and increase your salary further.
The type of degree you obtain can also affect your salary. The average salary for master's graduates is higher than for bachelor's graduates, and with a master's degree, you have better chances of quickly attaining a position with personnel responsibility. However, salary alone should never be your sole decision criterion: choose the qualification that best fits your interests and carefully consider whether you prefer to earn money sooner or continue studying a bit longer.
With a completed apprenticeship, you can expect an average annual salary of 51.716€ in the field of data science. If you have an academic degree in the field of data science, your average salary is 61.094€.
Academic degree
ø 61.094 €
Study vs. Training
Non-Academic degree (Apprenticeship, Vocational Education, Technician, ...)
ø 51.716 €
Skills in the field of data science
In addition to soft skills such as communication, flexibility, and teamwork, employers expect a variety of relevant hard skills and abilities for the field of data science. The most important skills include: Data , Research data , Scientific Data , Data Management , data analysis , Data Science Methods , Data Analytics , Big Data Analysis , big data , data mining .
Salary in the field of data science
by City
Where do you earn the most in the field of data science? Currently, you earn the most in the field of data science in Moers with an average salary of 74.527€ per year.
In general, the salary in the field of data science is usually higher in large cities than in small towns. Large cities and metropolises often offer higher salaries, although the cost of living is also higher.
In which city you can earn particularly high salaries in the field of data science, you will find out in this table:
Salary in the field of data science
by Federal State
In which region do you earn the most in the field of data science? Currently, you earn the most in the field of data science in Bavaria with an average salary of 72.423€ per year.
In Germany, there are still sometimes differences in salaries between western and eastern federal states.
We provide you with an overview of the salaries you can expect in the field of data science in different federal states.
| Ø Gehalt | Gehaltsspanne | |
|---|---|---|
| Bavaria | 72,423€ | 62,370 € - 76,368€ |
| Hesse | 57,242€ | 53,013 € - 62,987€ |
| Lower Saxony | 56,745€ | 52,668 € - 65,835€ |
| North Rhine-Westphalia | 63,081€ | 52,623 € - 74,741€ |
| Saxony | 54,724€ | 45,047 € - 58,904€ |
| Rhineland-Palatinate | 59,604€ | 52,045 € - 61,611€ |
What factors influence your salary in the field of data science?
There are several career factors that influence your salary in the field of data science. Average salary tends to increase with the size of the company you work for. In large corporations, salaries are often higher compared to start-ups and small companies. However, in smaller companies, you may have the opportunity to advance more quickly on the career ladder.
One of the key factors affecting your salary in the field of data science is your work experience. With each year on the job, you gain valuable knowledge and experience that become increasingly better compensated over time. In just a few years, you transition from a beginner to a young professional. After more than 10 years of experience, you can then be considered a professional. With increasing experience, you also have the opportunity to move into positions with personnel responsibility. A position with personnel responsibility is generally paid significantly better, and there are further factors influencing your salary here as well. For example, a department head with personnel responsibility for over 20 employees earns more than a group leader responsible for 5 employees.
Your educational qualification, the city, and the federal state where you work are also factors that influence your salary.
Corporate Benefits in the field of data science
In addition to the salary, in the field of data science, you often benefit from benefits provided by the employer. These advantages can offer financial relief or improve working conditions. Depending on the industry, company size, and position, the offered benefits vary and can range from tax-free allowances to in-kind benefits. These may include Jobrad , Corporate Benefits oder D-Ticket .
Corporate benefits are a supplement to salary and can make a significant difference in the long term. They are often an important factor when choosing a job and can significantly enhance overall remuneration.
Use this table to find out which jobs offer corporate benefits:
| Jobs | |
|---|---|
| Jobrad | Current jobs |
| Corporate Benefits | Current jobs |
| D-Ticket | Current jobs |
data science - Latest salary data 2025
How up-to-date is the salary data in the data science area?
At jobvector, we attach great importance to always providing you with up-to-date and accurate salary information. Salaries in the data science sector have changed significantly over the last few years due to factors such as rising wage levels, inflation, new legal regulations, bonus payments and tax adjustments. It is therefore particularly important to us to present up-to-date data that gives you as an applicant a good and realistic basis for the next salary negotiation.
The salary information on jobvector is consistently kept up to date and is never more than three years old. This up-to-dateness guarantees you a precise and clearly structured overview of the salary structures in the data science sector, and effectively supports you in preparing for your salary negotiations.
Further job vacancies in the data science field
Mannheim, Baden-Württemberg |Wetzlar, Hessen
Ludwigshafen am Rhein, Rheinland-Pfalz
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