In today’s world of data-focused activities, the position of a data scientist has changed into a critical element that stretches across numerous fields. In this detailed discussion, we embark on a complex journey into the mysterious domain of data scientist salary in India, diving deep into important influences, shifts in pay, and answering common questions.
Who is a Data Scientist ?
Data scientist is a professional who possesses analytical skills, programming expertise, and domain knowledge. This unique combination empowers them to decipher complex patterns, trends, and practical insights from large and diverse datasets. Data Scientists are trained to work process data through the Python’s libraries such as Pandas, Matplotlib, and Numpy, etc. They often work with large amounts of data to develop and test hypotheses, make inferences and analyze customer and market trends, financial risks, cybersecurity threats, stock trades, equipment maintenance needs and medical conditions.
Average Salary of Data Scientist in India
The data scientist salary in India fall within the range of INR ₹3.7 to ₹25.8 lakhs. However, this number can vary due to skill level, location, industry, and job responsibilities. It’s worth noting that skilled data scientists with proven track records can command even higher salaries.
Data Scientist Salary in India ranges from ₹3.7 to ₹25.8 Lakhs, with an average salary of ₹9,27,349 per year. Average monthly salary of a Data Scientist with relevant experience is ₹70,000 to ₹75,000 INR. According to current standards, the lowest or entry-level Data Scientist salary in India is ₹5,77,893 per year. However, with experience, your location, and the company you work for, your salary can go up to ₹19,44,566 per annum.
Data Scientist Job Roles and Responsibilities
The job roles in data science are vast and evolving as the field continues to grow. Some of the most common data science job roles include:
| Solve business problems with data |
Statistics, machine learning, programming |
| Collect, clean, and analyze data |
Statistics, data visualization, BI |
| Build and maintain data infrastructure |
Data engineering, cloud computing, software engineering |
| Develop and deploy ML models |
Machine learning, programming, statistics |
| Design and implement data architecture |
Data modeling, data warehousing, data security |
| Use stats to collect, analyze, and interpret data |
Statistics, data analysis, data visualization |
| Translate business needs into technical requirements |
Business analysis, requirements gathering, communication |
The specific duties and responsibilities of each data science job role will vary depending on the organization and the project. However, all data science job roles require strong analytical, problem-solving, and communication skills.
Know more about: What are the Roles and Responsibilities of Data Scientists in India.
Top Paying Companies for Data Scientists in India
The top paying companies for Data Scientists are as follows –
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15 LPA
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13.5 LPA
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12 LPA
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11 LPA
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10 LPA
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9 LPA
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12 LPA
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15 LPA
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20 LPA
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12 LPA
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15 LPA
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14 LPA
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14 LPA
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14 LPA
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18 LPA
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17 LPA
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16 LPA
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15 LPA
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18 LPA
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20 LPA
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Salary of a Data Scientist: Based on Experience Levels
Experience plays a significant role in determining the earning potential of a data scientist. Entry-level data scientists with 0 to 3 years of experience can expect an average yearly income of INR 5-8 lakhs. Mid-level data scientists with 4 to 7 years of experience can anticipate salaries ranging from INR 8-15 lakhs as professionals advance in their careers. In comparison, experienced data scientists with eight or more years of experience often secure wages of INR 15 lakhs or more annually.
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Average Annual Salary: 5,00,000 to 8,00,000 INR
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Average Annual Salary: 8,00,000 to 12,00,000 INR
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Average Annual Salary: 12,00,000 to 15,00,000 INR
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Average Annual Salary: 15,00,000 to 25,00,000 INR or more
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Salary of a Data Scientist: Top Hiring Cities
Geographical location is an essential factor in determining data scientist salaries in India. Major technological hubs like Bangalore, Mumbai, and Delhi-NCR offer higher wages due to the concentration of tech companies and higher living costs. Second-tier urban areas may also offer competitive wages, although slightly lower.
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4.0 LPA
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10.0 LPA
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25.0 LPA
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3.5 LPA
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7.4 LPA
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20.0 LPA
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3.5 LPA
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8.0 LPA
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20.0 LPA
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4.0 LPA
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9.0 LPA
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22.0 LPA
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3.5 LPA
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8.0 LPA
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20.8 LPA
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3.5 LPA
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9.2 LPA
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22.9 LPA
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4.0 LPA
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10.0 LPA
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24.6 LPA
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4.0 LPA
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8.4 LPA
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24.0 LPA
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Salary of a Data Scientist: Based on Industries
Data scientists earn different salaries in different industries because their skills are needed for various purposes. They’re experts at understanding data to help make decisions. This can mean things like predicting outcomes, improving customer experiences, or using technology better. Because these skills are used in different ways, the pay for data scientists can change based on where they work.
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2.6 LPA
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8.3 LPA
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27.3 LPA
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5.0 LPA
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12.2 LPA
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25.0 LPA
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4.9 LPA
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14.0 LPA
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35.3 LPA
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4.4 LPA
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15.1 LPA
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34.9 LPA
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4.5 LPA
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12.0 LPA
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31.9 LPA
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4.0 LPA
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8.5 LPA
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23.0 LPA
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5.0 LPA
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13.0 LPA
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27.0 LPA
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4.5 LPA
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10.4 LPA
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27.1 LPA
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5.4 LPA
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13.0 LPA
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25.1 LPA
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4.5 LPA
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10.8 LPA
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25.0 LPA
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Salary of a Data Scientist: Other Countries
Data scientists salaries can vary significantly from country to country due to the diverse demands for their expertise. These professionals are skilled at analyzing data to provide valuable insights, aiding decision-making processes. Whether it’s predicting trends, optimizing customer experiences, or advancing technological innovations, their skills are harnessed in different capacities worldwide. As a result, their compensation can differ based on the specific requirements of each nation’s job market. Where the United States is one of the top-paid nations for data Scientists, with base pay at the entry level starting at 79.1 LPA to the highest at 2.08 crore per annum.
| United States |
$120,000 |
$10,391 – $17,063 (per month) |
| Australia |
AUD $75,233 – AUD $121,578 |
$9,882 – $14,766 (per month) |
| Israel |
₪65,000 (ILS) |
₪7,174 – ₪10,815 (ILS) (per month) |
| Canada |
$81,000 |
$8,037 – $12,500 (CAD) (per month) |
| Germany |
€69,500 |
€2,740 – €9,470 (per month) |
Skills Required for Data Scientist
The skills required for a data scientist vary depending on the specific role and the industry they work in. However, some of the most essential skills for data scientists include:
| Strong foundation in statistical concepts: probability, distributions, hypothesis testing, regression. |
| Ability to use machine learning algorithms like linear regression, logistic regression, decision trees, and random forests. |
| Proficiency in coding, with popular languages like Python, R, and SQL for data manipulation and model building. |
| Skill in using tools such as Tableau, Power BI, Matplotlib to create meaningful data visualizations. |
| Ability to convey findings clearly and concisely, explaining complex concepts to stakeholders. |
| Capability to identify and solve problems using data, critical and creative thinking. |
| Capacity to generate innovative ideas and solutions, thinking outside the box. |
| Ability to meticulously review work and spot potential errors or inconsistencies. |
| Effective collaboration with cross-functional teams, working towards common objectives. |
Also, check: Top Skills required to become a Data Scientist.
What does a Data Scientist do?
Data scientists typically mine data for information that can be used to predict customer behaviour, identify new revenue opportunities, detect fraudulent transactions and meet different business needs. They also do valuable analytics work for healthcare providers, academic institutions, government agencies, sports teams and different organizations.
Why Become a Data Scientist?
In a world where data drive business decisions, the role of data scientists becomes crucial in making decisions based on insightful information. As organizations rely on data-driven insights to gain an edge in competition, understanding the factors influencing data scientist salaries becomes increasingly essential.
Factors That Shape Data Scientist Salaries in India:
Various factors beyond traditional elements, such as education and experience, influence the pay structure for data scientists. Organizations consider the complexities of the role, specialized domain expertise, the value data scientists bring to business prospects, and the ever-evolving nature of the field.
How to Maximize Your Salary in Data Science?
Here are some tips on how to maximize your salary in data science:
- Get the right education and training: Learn the fundamentals of data science.
- Gain experience: Work on data science projects.
- Specialize in a particular area: Focus on a specific field of data science.
- Stay up-to-date on the latest trends: Keep learning about new developments in data science.
- Network with other data scientists: Connect with people in the data science community.
- Become a data science thought leader: Share your knowledge and expertise.
- Negotiate your salary: Be prepared to bargain for your desired salary.
Conclusion
In the rapidly changing world of data science, understanding the intricacies of compensation is essential for both professionals and employers. With India witnessing a surge in data-driven enterprises, data scientists are well-positioned to capitalize on their skills. By continuously improving their skill sets, staying attuned to industry trends, and effectively negotiating, these professionals can impact business outcomes and enjoy well-deserved financial rewards.
Related Articles:
If you are an aspiring Data Scientist, the complete roadmap of: How to become a Data Scientist might be helpful for you.
Data Scientist Salary in India – FAQs
1. What is the starting salary for an entry-level data scientist in India?
The initial salary for a new data scientist in India typically ranges from INR 5 to 8 lakhs, depending on location and industry context.
2. How does professional experience impact a data scientist’s salary?
The professional experience history significantly affects a data scientist’s financial package. Mid-level and senior data scientists with extensive expertise generally command higher salaries than those just starting.
3. What is the average salary for a Data Scientist?
The salary for a Data Scientist in India falls between INR 3.7 lakhs to 25.8 lakhs per year, with an average salary of 9.2 lakhs per year.
4. What qualifications do Data Scientists usually have?
Data scientists often possess advanced degrees in data science, computer science, or statistics, proficiency in programming languages (Python, R), data visualization tools, and strong analytical skills.
5. Can a Data Scientist earn one crore?
Yes, it is feasible for a data scientist to make one crore or more annually in India, contingent on factors like industry, job role, experience, and skills.
6. What is the salary for a fresh Data Science graduate in India?
The salary for a Data Science graduate in India varies between INR 4 lakhs to 8 lakhs per year.
7. Which industry-specific certifications enhance a data scientist’s earning potential?
Certifications like Certified Data Scientist (CDS) or Microsoft Certified: Azure Data Scientist Associate validates expertise, adding value and increasing earning potential.
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