With the constant rise of the Information Technology and automation sector, the demand for opportunities in data science has been increasing rapidly. Every year a massive number of students migrate to Germany to pursue Master in Data Science to acquire an international degree and prosperous data science jobs in Germany. prospects.
Currently, Germany is the most preferred choice for students to study abroad. The European country provides multiple job opportunities and attractive benefits to immigrants for settling in. To ease everything related to pursuing data science in Germany, upGrad Abroad organized a live YouTube webinar in the presence of Ankur Dhawan, President, upGrad Study Abroad, and Kiran Kumar, alumni of upGrad. Kiran Kumar answered all the questions asked by viewers related to the life of a data scientist in Germany.
Read More: Pursue MS in Data Science in Germany
Table of Contents
Data Scientist vs. Data Analyst
Both of the job profiles are in high demand and pay well. Data scientists and data analysts deal with data, but the key difference is what do they do with data? The job profile of a data scientist is to gather process and design models, build tools, and write programs to automate the data collection process.
Whereas a data analyst works on structured data and provides solutions for complex problems with the help of different tools including SQL and Python, along with restructuring data, obtaining data from other sources, and more.
Data Science Jobs: Germany vs. India
There are multiple job openings for data scientists in India and Germany, though there is always one with extra benefits. There are companies such as Volkswagen, Allianz, BMW, Siemens, Daimler, and more. These companies offer colossal salary packages to skilled and qualified workers.
Although the pay scale in India for data scientists is huge, it is lower in comparison to Germany. The other point that makes Germany a more attractive destination for pursuing data science is the benefits provided by the German government and the work culture followed.
With a robust technology sector, Germany boasts a high demand for skilled data science professionals. Employing companies in Germany prioritize advanced skill sets and knowledge in machine learning, artificial intelligence (AI), and deep learning, offering a conducive work environment with competitive salaries. On the other hand, despite the fast-growing data science industry in India, the emphasis leans towards analytics and business intelligence. Salaries might vary, but India acts as a fertile ground for learning and growth because of its thriving startup ecosystem and innovative projects.
Job Profile | Average Annual Base Salary in India* | Average Annual Base Salary in Germany* |
Data Scientist | €10,400 | €56,036 |
Machine Learning | €10,888 | €55,786 |
Python | €10,519 | €55,481 |
R | €9,516 | €56,155 |
Statistical Analysis | €11,112 | €57,128 |
*Payscale
Work Culture in Germany
Germans are highly competitive and punctual but believe in separating professional from personal life. Workers are lured by flexible working hours for a balanced professional and professional life. Moreover, data science professionals in Germany experience a work culture that values precision, quality, dedicated teamwork, and strive to become reliable and reach ahead. All these benefits attract international students to stay after graduation and post graduation to apply for jobs.
How Easy is it to Find Data Science Job in Germany
Finding a data science job in Germany for Indians after a bachelor’s or master’s degree is reasonably easy if you have the required skill sets. There are various job portals and agencies where you can sign up for finding jobs. Here are few ways how you can find data science jobs in Germany-
1. Expatica job
2. European Employment Services
3. Federal Employment Agency
4. Monster
5. Kimeta
6. JobStairs
7. MeineStellenboersen
8. The Local,
9. Top language jobs
10. JobMensa
11. Zen jobs
All you require is the skills and qualifications to be eligible for the job role. German language proficiency can be an advantage in job markets.
Transition to Data Science With Bachelors in Another Domain
Switching is always possible if one has passion. With a bachelor's degree in another domain, you can pivot to data science if you acquire relevant skills through a specialized master's program, online certificate courses, or bootcamps. If you have skills in programming languages like Python or R, machine learning, statistical analysis, or data analysis, it will lead to a successful transition. However, it’s best to do graduation and post graduation in the same subject to understand the basics. Domain knowledge is always a plus as it gives you an upper hand among your competitors, but if you want to switch, ensure to understand the concepts and enhance your skills to crack job interviews in your desired companies.
FAQ
Can someone with 10+ years of teaching switch to data science?
You can switch to data science after 10+ years of teaching experience. You must be able to demonstrate the willingness to learn the data science roles. You can attend any relevant course or boot camps for a better career transition.
Is a data scientist job better than a data analyst?
Both jobs are equally good. It depends on which profile you’re more inclined towards.
Can I live in Germany without learning native language?
You can live in Germany without knowing German. However, it’s best if you learn the language as some organizations demand at least B1 level proficiency in German language.
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