salary of Python data science?

Importance of data science

Data science is important because it helps make data-driven decisions that can improve outcomes and performance. Apart from this, data science can help solve problems, optimize processes, reduce costs, and enhance customer satisfaction. Similarly, data science can benefit society and humanity by addressing issues such as health care, education, environment, security, and social justice, to name a few

Relevance of Python

Python is relevant in data science because it is a versatile, powerful, and easy-to-learn programming language that can handle various types of data and tasks. Python has a large and active community that supports its development and use. 

Apart from this, Python has huge libraries and frameworks that offer a wide range of functionalities and features for data science. Python is compatible with many platforms and systems, and can integrate with other languages and tools. Python is also widely used in academia and industry for research.

Overview of salaries in data science in India

Data science is one of the most lucrative and in-demand fields in the tech industry in India. Data scientists are professionals who analyze data and extract insights that can help businesses and organizations make informed decisions. 

According to PayScale, the average salary for a data scientist in India is around ₹9,03,864 per year. However, the salary can vary based on several factors, such as experience, education, industry, location, and skills, to name a few.

Python data science salaries are among the highest in the tech industry in India. According to Indeed, the average salary for a Python developer in India is ₹4,43,568 per year, while the average salary for a software engineer is ₹5,06,983 per year. This means that Python data scientists earn about twice as much as Python developers and software engineers on average.

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Factors affecting the salary of data scientists in India

Now, let’s talk about some major factors that may increase or decrease the salary of a data scientist in India. 

1. Industry

The industry that a Python data scientist works in can influence their salary because different industries have different levels of demand, competition, and complexity for data science. Some industries may pay more for Python data scientists who can help them gain a competitive edge, optimize their processes, or solve their specific problems with data. 

According to PayScale, some of the highest-paying industries for Python data scientists are real estate, information technology (IT), finance, e-commerce, and health care, just to name a few. 

2. Experience

Experience is another factor that can affect the salary of a Python data scientist because it reflects their level of expertise, knowledge, and skills in data science. Generally, more experienced Python data scientists can command higher salaries because they can handle more complex and challenging tasks, deliver more value and impact, and mentor or lead other data scientists. 

According to PayScale, an entry-level Python data scientist with less than a year of experience can expect to earn around ₹5,00,000 per year, while those with 1 to 4 years of experience may expect to earn about ₹6,10,811 per year. The salary range for Python data scientists in India is between ₹3.6 Lakhs to ₹25.6 Lakhs, with an average annual salary of ₹10.0 Lakhs.

3. Location

Location is another factor that can influence the salary of a Python data scientist because it reflects the cost of living, the availability of talent, and the demand for data science in different regions. Generally, Python data scientists can earn more in locations where the cost of living is higher, the talent pool is smaller, and the demand for data science is greater. 

According to Glassdoor, some of the highest-paying cities in India for Python data scientists are Bangalore (₹14.5 Lakhs), Mumbai (₹12.8 Lakhs), Hyderabad (₹11.9 Lakhs), Chennai (₹11.7 Lakhs), and Pune (₹11.3 Lakhs).

4. Education

Education is another factor that can affect the salary of a Python data scientist because it reflects their level of qualification, training, and knowledge in data science. As a general rule, higher degrees can lead to higher salaries and more career opportunities for Python data scientists because they can demonstrate their proficiency and credibility in data science. 

According to Glassdoor, 51% of data scientists have a bachelor’s degree, 34% have a master’s degree, and 13% have a doctorate (PhD).

5. Certifications

Certifications are another factor that can affect the salary of a Python data scientist because they reflect their level of skill validation, specialization, and recognition in data science. 

Generally, certifications can help Python data scientists increase their salary and stand out from other candidates because they can showcase their competence and expertise in specific areas or tools of data science. 

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According to DataCamp, some of the most popular and valuable certifications for Python data scientists are listed below.

• IBM Data Science Professional Certificate
• Google Data Analytics Professional Certificate
• Microsoft Certified: Azure Data Scientist Associate
• TensorFlow Developer Certificate
• AWS Certified Data Analytics – Specialty

Long story short, if you want to know the salary of Python data science in India, you can use this article. The idea is to help you set realistic expectations so that you don’t have the regret this decision. So, you may want to take your time and choose this career path after taking into your account all of the factors effecting the salary you may earn.