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In this article, you will learn about Top 13 Highest Paying Data Science Jobs in India. Take a glimpse below.
- Data Analyst
- Data Scientist
- Machine Learning Engineer
- Machine Learning Scientist
- Applications Architect
- Data Architect
- Enterprise Architect
- Infrastructure Architect
- Statistician
- Business Intelligence Analyst
- Data Engineer
- Quantitative Analyst
- Data Warehouse Architect
Read more to know each in detail.
The data science landscape is a dynamic space, almost mimicking the real globally, connected world. New technologies are being developed and applied year on year, and the transformation is likely to continue into the coming decade. Therefore, a surge in data science jobs can be expected in the near future.
There is a rising demand for data science practitioners around the world. These job opportunities would continue to surge beyond 2020, adding more than 1.5 lakh new jobs. This trend is a natural response to data being an important resource for organizations in the digital age. We listed the top 10 highest paying data science jobs in India. This list is updated and irrespective of your work level, beginner/entry-level or middle level, these will help you decide the direction you want to go in next.
If you are aspiring for one of the best data science jobs in India, the salary package is not the only factor. Career growth, job security, and reputation make a career attractive.
If you want to know about the highest paying data science jobs, this article may help you. Currently, about 70% of data science-related job postings require less than five years of experience, provided the candidates possess the necessary qualifications and demonstrate the right skill sets. Read on to get familiar with the job titles, the must-have credentials, and the top recruiters in the data science field!
What Does Data Science Involve?
Data science comprises collecting, manipulating, storing, and analyzing data. It facilitates data-driven approaches for decision-making, thus fostering an environment of continuous growth.
Amazon’s online shopping site serves as a prime example of how data collection can improve performance. Amazon customizes the home page views of users based on what they search, purchase, and spend. In other words, it remembers datasets and provides useful product recommendations to fit customer needs.
McKinsey Global Institute calls big data the next frontier of innovation and productivity. The MGI study estimates that a retailer who leverages data has the potential to increase its operating margins by more than 60 percent. Parallelly, personal-location data can enable consumers to pay much less for buying goods and services, hence capturing an economic surplus of about $600 billion. So, big data can be a game-changer in building healthy economies.
Following the mantra of “Using tech for good,” data science can be applied to shape a better reality of the future. Innovative applications can address a variety of critical issues, from improving diagnostic accuracy in the medical field to transforming healthcare with wearable tech. Data science can even help farmers and food suppliers in cutting down on food waste, improving yields, and ultimately earning more.
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Today, many nonprofits are leveraging data technologies to implement innovative programs at the grassroots level, and also to boost fundraising efforts by predicting funding needs. So far as governments are concerned, there is a recent but resounding interest in using data science to identify potential security threats and monitoring initiatives on the ground.
The Future of Data Science in India
The career prospects of a data science graduate are very bright, not only in India but also at a global level. As the world is moving towards a more data-driven and analytical approach to making decisions based on data rather than instincts, almost every media to large size company is making expert data science personnel a part of their journey.
An enormous amount of data is generated daily, both structured and unstructured. In order to leverage such data to retrieve invaluable insights, organizations reach out to data scientists. There are different implementations of data science techniques, such as artificial intelligence, machine learning, deep learning, etc.
Some of the greatest advantages a company gets by applying data science in their business include
- Being able to segment and target audiences precisely so their purchase decisions can be influenced.
- Analyse the feasibility and profitability of newer and older products
- Gaining better knowledge of customers and their buying preferences and curating marketing campaigns accordingly
- Detecting and preventing possible customer loss.
With the growing number of startups and new businesses, the market is getting saturated day by day. In such situations, all these aforementioned benefits will significantly improve customer experience, customer retention, and customer loyalty. Hence, the future of Data Science in India is only expected to climb upward.
Factors Influencing Data Scientist Salary
Several factors influence a data scientist salary in India or abroad.
First, experience plays a big role. More experienced data scientists usually earn higher salaries because they bring valuable skills and knowledge to the table.
Second, education is key. Data scientists with advanced degrees can receive higher salaries due to their specific skills and expertise.
Third, the sector in which you work has an influence on your compensation. For example, data scientists in technology typically earn more than those who work in different industries.
Fourth, geographic location is important. The typical wage of a data scientist in India differs from that of a foreign country such as the United States. For example, San Francisco and New York offer higher incomes to compensate for their higher cost of living.
Data Scientist Salary in India Based on Experience
Read on to discover more about the salary of data scientist in India based on professional experience.
Fresher Data Scientist Salary
Freshers, or those new to data science and with little to no professional experience, typically start with pay commensurate with their entry-level positions. In India, the median wage for freshers, generally classified as individuals with 0–1 year of experience, is around ₹5.11 lakh annually. This beginning compensation represents the basic skills and expertise gained via academic training while recognizing the importance of hands-on experience training and skill advancement.
Junior Data Scientist Salary
Upon gaining more knowledge and proficiency, these individuals become Junior Data Scientists. Junior data scientists may fetch a higher median income of around ₹7.06 lakh annually, provided they have one to five years of related expertise. This pay rise indicates the worth of their developing expertise in data visualization and analysis, modeling of statistics, and higher-level programming languages, as well as their ability to participate and contribute effectively to company goals and projects.
Mid-Level Data Scientist Salary
Mid-level data scientists often have three to six years of work knowledge and experience. The highest salary of a data scientist in India with 6-7 years of experience is around 14 LPA, with an average pay of around INR 13.67 LPA.
This range may be greater in tech companies and among persons with specific skills in machine learning, deep learning, or big data technologies. Companies want mid-level data professionals to have outstanding analytical abilities, a solid understanding of trendy data science technologies, and effective interpersonal abilities as they develop work experience in the industry.
Senior Data Scientist Salary
After earning 10 to 12 years of expertise, you’re a senior data scientist. These skilled experts generally make no less than INR 24 lakh annually. Senior data scientists use data analysis to gain insights that can help with company growth and corporate initiatives. They have comparable tasks as young data scientists but are more active in team leadership and have greater influence over long-term data-driven choices and initiatives.
Here’s a breakdown of the average data scientist salary in India:
- Data scientist fresher salary in India: (0-1 year): INR 5.10 lakh/year
- Junior data scientists (1-4 years): INR 8.05 lakh/ year
- Mid-level (5-9 years): INR 13.69 lakh/year
- Experienced (10-12 years or more): INR 24 lakh/year
Highest Paying Data Science Jobs in India
There is a range of data scientist salary based on the type of data science jobs they chose; however, the highest salary of data scientist in India is near about 20 LPA.
1. Data Analyst
Role: Data analysts transform and manipulate large data sets. They also assist higher-level executives in gleaning insights from their analytics. Analysts should have adequate knowledge of A/B testing and tracking web analytics. It has always been one of the best data science jobs in India, and dealing with money – yours and others – is the stuff of dreams.
Preferred qualifications: Entry-level openings in this area require a minimum of a bachelor’s degree (with emphasis on science/math/statistics). You should demonstrate aptitude in mathematics and logical ability. Usually, those proficient in programming—with skills in SQL, Python, Oracle, etc.—are given preference by hiring managers.
One of the key jobs of data analysts’ is to allocate a numerical value to significant business functions to ensure the organization’s performance can be retrieved and compared. Usually, data analysts must know how to use data to help organizations make informed decisions.
Data analysts adapt and execute voluminous data. They guide the superior-level administrator to collect the visions from the analysis. The data scientist highest salary in India is resultant of their ability to handle all these challenging responsibilities. They own a high level of understanding of the A/B test and track the website analytics. The approximate earning of the data analyst is ₹4,18,452 per annum in India.
They review information to know its accuracy and create reports on their outcomes for streamlining management or other sectors of an organization. They need to solve problems within the organization or discover ways to provide a competitive edge to the organization.
Although programming might not be required, they must have proficiency in working with databases (like SQL) or developing data visualization (like graphs and charts) to elucidate their findings. Data analysts with programming skills can get the highest salary of data scientist in India.
Future Scope: Looking at the past data analytics industry trends, it is fair to say that the industry is experiencing exceptional growth. Observing the relevant fields, it is certain that till 2025, the trends will only go up in India and are expected to touch $118.7 billion by the year 2026.
Salary
The average data analyst salary in India is ₹6.4 lakhs per annum.
Data Analyst Salary based on Locations:
| City | Salary |
| Bangalore | ₹6.9 Lakh |
| New Delhi | ₹6.7 Lakh |
| Mumbai | ₹6.6 Lakh |
| Hyderabad | ₹6.7 Lakh |
| Pune | ₹6.4 Lakh |
| Chennai | ₹6.5 Lakh |
| Noida | ₹6.7 Lakh |
| Gurgaon | ₹7.1 Lakh |
Top employers for data analyst jobs:
Data Analyst Salary based on Experience:
| Experience | Salary |
| 1 Year | ₹4.6 Lakh |
| 2 Year | ₹5.3 Lakh |
| 3 Year | ₹6.0 Lakh |
| 5 Year | ₹7.7 Lakh |
| 6 Year | ₹8.2 Lakh |
Data Analyst Salary based on Industry:
| Industry | Salary |
| IT Services | ₹6.1 Lakh |
| Internet | ₹7.5 Lakh |
| Software Product | ₹6.8 Lakh |
| Financial Services | ₹7.1 Lakh |
| KPO | ₹7.1 Lakh |
Top Data Science Skills to Learn
| SL. No | Top Data Science Skills to Learn | |
| 1 | Data Analysis Programs | Inferential Statistics Programs |
| 2 | Hypothesis Testing Programs | Logistic Regression Programs |
| 3 | Linear Regression Programs | Linear Algebra for Analysis Programs |
2. Data Scientist
Role: It is a more technical position than a data analyst. Data scientists may perform data preparation tasks (cleaning, organizing, and so on) that allow companies to take strategic actions. They handle large datasets and uncover useful patterns and trends in the data.
Preferred qualifications: A master’s degree or advanced qualifications such as PhD are desirable for the designation of a data scientist. Sometimes, companies seek sector specialists (healthcare, retail, information technology, etc.) to fill high-responsibility positions. Hands-on experience is critical for data scientist roles, apart from having a sound background in IT, CS, math, and other such disciplines.
Data scientists gather and analyze huge sets of structured as well as unstructured data. They use unstructured data from sources like emails, social media feeds, and smart devices.
Usually, they need to combine concepts of mathematics, statistics, and science. Moreover, they process and model the data. Subsequently, they interpret the results to develop practical plans for companies. The reason behind data scientist highest salary in India is that they are also analytical experts who employ their skills in both social science and technical domains to determine trends and handle data.
Future Scope: It is soon to be expected that Data science will become a part of every job, whether they are tech-related or not. Especially in a developing country like India, it has ample room for growth; therefore, it will be a great career option for the next decade.
Salary
Average data scientist salary in India is ₹14.4 lakhs.
Data Scientist Salary based on Locations:
| City | Salary |
| Bangalore | ₹15.5 Lakhs |
| New Delhi | ₹13.6 Lakhs |
| Mumbai | ₹13.2 Lakhs |
| Hyderabad | ₹14.8 Lakhs |
| Pune | ₹12.8 Lakhs |
| Chennai | ₹13.3 Lakhs |
| Noida | ₹13.7 Lakhs |
| Gurgaon | ₹14.1 Lakhs |
Data Scientist Salary based on Experience:
| Experience | Salary |
| 1 Year | ₹9.5 Lakhs |
| 2 Year | ₹10.5 Lakhs |
| 3 Year | ₹11.6 Lakhs |
| 5 Year | ₹16.4 Lakhs |
| 8 Year | ₹19.9 Lakhs |
Data Scientist Salary based on Industry:
| Industry | Salary |
| IT Services | ₹13.2 Lakhs |
| Internet | ₹18.3 Lakhs |
| Software Product | ₹16.6 Lakhs |
| Financial Services | ₹15.1 Lakhs |
| KPO | ₹15.3 Lakhs |
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3. Machine Learning Engineer
Another data science-related job is a Machine Learning Engineer.
Role: As a machine learning engineer, you are responsible for creating data funnels and delivering software solutions. Additionally, your job would involve running tests and experiments to monitor the system functionality and performance.
Machine learning engineers lie at the intersection of data science and software engineering. They use programming frameworks and big data tools to guarantee that the raw data amassed from data pipelines are filtered and ready to scale as required.
They design self-reliant software for predictive model automation. They closely work with data scientists and ascertain that the proposed models can instil huge amounts of real-time data for producing precise outcomes.
The data scientist highest salary in India is because of their ability to handle the above-described tasks and help organizations achieve their goals. They create the data pipes as well and convey the software resolutions. Moreover, their job role also involves executing tests to analyze the network’s function.
Preferred qualifications: Machine learning engineers are expected to have strong statistical and programming skills. Software engineers with sufficient ML experience are preferred for such roles. You can brush theoretical topics with online courses and gain practical experience by implementing projects. Many online certifications with integrated industry mentoring are also available in the market.
Future Scope: In India and other parts of the world, the future scope of machine learning engineering is very bright. As the sector can get interconnected with almost any sector one can possibly imagine, the demand for machine learning engineers is expected to rise significantly in the near future.
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Salary:
Average machine learning engineer salary in India is ₹10.1 lakhs. It is one of the highest-paying data science jobs in India.
Machine Learning Engineer Salary based on Locations:
| City | Salary |
| Bangalore | ₹10.5 Lakhs |
| New Delhi | ₹9.2 Lakhs |
| Mumbai | ₹8.6 Lakh |
| Hyderabad | ₹10.1 Lakh |
| Pune | ₹8.4 Lakh |
| Chennai | ₹8.8 Lakh |
| Noida | ₹9.0 Lakhs |
| Gurgaon | ₹10.6 Lakh |
Machine Learning Engineer Salary based on Experience:
| Experience | Salary |
| 1 Year | ₹7.0 Lakh |
| 2 Year | ₹7.8 Lakh |
| 3 Year | ₹9.4 Lakhs |
| 4 Year | ₹12.2 Lakhs |
| 5 Year | ₹15.1 Lakhs |
Machine Learning Engineer Salary based on Industry:
| Industry | Salary |
| IT Services & Consulting | ₹9.5 Lakhs |
| Internet | ₹13.8 Lakhs |
| Software Product | ₹12.2 Lakhs |
| Financial Services | ₹9.1 Lakhs |
| Analytics & KPO | ₹14.6 Lakhs |
4. Machine Learning Scientist
Role: As an ML scientist, you are tasked with researching new approaches, such as algorithms, supervised and unsupervised learning techniques. Organizations hire these professionals in positions with job titles like Research Scientist or Research Engineer.
Preferred qualifications: Job postings for this role list the desired profile as “someone with an engineering degree with appropriate postgraduate studies and extensive proven research experience.”
Future Scope: Any profession that directly contributes to the machine learning field is expected to experience a rise in demand in the upcoming years as there is still a lot of development that has to happen in India.
Salary:
The average salary of a machine learning scientist in India is around ₹5.7 LPA, making it one of the highest paying data science jobs.
Machine Learning Scientist Salary based on Locations:
| City | Salary |
| Bangalore | ₹5.4 Lakhs |
| New Delhi | ₹9.0 Lakhs |
| Kolkata | ₹7.5 Lakhs |
| Hyderabad | ₹7.7 Lakhs |
| Pune | ₹5.6 Lakhs |
Machine Learning Scientist Salary based on Experience:
| Experience | Salary |
| 1 Year | ₹5.4 Lakhs |
| 2 Year | ₹5.6 Lakhs |
| 3 Year | ₹5.8 Lakhs |
| 4 Year | ₹9.8 Lakhs |
Machine Learning Scientist Salary based on Industry:
| Industry | Salary |
| IT Services & Consulting | ₹5.8 Lakhs |
| Internet | ₹16.0 Lakhs |
| Software Product | ₹5.8 Lakhs |
| Financial Services | ₹20.5 Lakhs |
| Hardware & Networking | ₹5.9 Lakhs |
5. Applications Architect
Role: These practitioners track applications, supervising how they are operating within the company and how users are interacting with them. As the job title suggests, their job is to build the architecture of applications, replete with components like the user interface and app infrastructure. In addition to being one of the highest-paid data science jobs in India, this is also a fast-paced one.
Preferred qualifications: To qualify for an opening for applications architect, you would generally need a computer science degree, along with industry certifications in programming and architectural design. The excessive & growing demand makes application architects land on one of the highest salary data science jobs in India, while motivating candidates to bag data scientist highest salary in India with their improved skill set.
Future Scope: With the software development field experiencing booming growth, a huge need for talented professionals makes it a great career path now and in the upcoming years. Candidates can initiate their development journey now with upskilling to make themselves futureproof.
Salary:
Average application architect salary in India is ₹34.9 lakhs. It is one of the highest paying data science jobs.
Application Architect Salary based on Locations:
| City | Salary |
| Bangalore | ₹30.4 Lakh |
| New Delhi | ₹30.9 Lakh |
| Mumbai | ₹30.8 Lakh |
| Hyderabad | ₹30.7 Lakh |
| Pune | ₹30.6 Lakh |
| Chennai | ₹30.7 Lakh |
| Noida | ₹30.8 Lakh |
| Gurgaon | ₹30.8 Lakh |
Top employers for application architect job:
Application Architect Salary based on Experience:
| Experience | Salary |
| 9 Year | ₹25.8 Lakh |
| 10 Year | ₹27.2 Lakh |
| 11 Year | ₹28.3 Lakh |
| 12 Year | ₹28.8 Lakh |
| 14 Year | ₹30.0 Lakh |
Application Architect Salary based on Industry:
| Industry | Salary |
| IT Services & Consulting | ₹30.0 Lakh |
| Internet | ₹31.4 Lakh |
| Software Product | ₹26.5 Lakh |
| Financial Services | ₹31.1 Lakh |
| Emerging Technologies | ₹26.2 Lakh |
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6. Data Architect
Role: One of the highest paying data science jobs worldwide, data architect creates new database systems, use performance and design analytics to improve the interconnected data ecosystem within the company. The end goal is to make the information easily accessible for use by data scientists. It has always been one of the best data science jobs in India, and dealing with money – yours and others – is the stuff of dreams.
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Preferred qualifications: To become a data architect, you would need a computer engineering education with sufficient command over applied mathematical and statistical concepts. Ideally, you should have completed coursework in subjects like data management, programming, big data development, systems analysis, and technology architecture.
Data architects create the basis for an online computing network that connects servers for information transmission. They are accountable for deploying the fundamental functions of networking solutions and deciding whether they follow regulations and compliance. Usually, they serve as experts to solve problems with clients or employees while accessing the Cloud. Occasionally, data scientist salary in India is inclusive of testing the cloud during any vulnerability.
Skills required for the position are similar for computer engineers that are proficient in programming and networking.
Future Scope: Data architecture is projected as one of the most promising fields under data science from 2018 to 2027. The demand for data architects is expected to rise steadily in the time bracket.
Salary:
Average data architect salary in India is ₹26.9 lakhs.
Data Architect Salary based on Locations:
| City | Salary |
| Bangalore | ₹26.1 Lakhs |
| New Delhi | ₹23.3 Lakhs |
| Mumbai | ₹25.4 Lakhs |
| Hyderabad | ₹26.3 Lakhs |
| Pune | ₹24.3 Lakhs |
| Chennai | ₹25.9 Lakhs |
| Noida | ₹22.8 Lakhs |
| Gurgaon | ₹24.7 Lakhs |
Data Architect Salary based on Experience:
| Experience | Salary |
| 7 Year | ₹ 23.4 Lakhs |
| 8 Year | ₹ 26.6 Lakhs |
| 9 Year | ₹ 27.4 Lakhs |
| 10 Year | ₹ 28.3 Lakhs |
| 12 Year | ₹ 29.7 Lakhs |
Data Architect Salary based on Industry:
| Industry | Salary |
| IT Services & Consulting | ₹ 26.8 Lakhs |
| Internet | ₹ 22.7 Lakhs |
| Software Product | ₹ 27.8 Lakhs |
| Financial Services | ₹ 26.0 Lakhs |
| Analytics & KPO | ₹ 27.9 Lakhs |
7. Enterprise Architect
Role: As an enterprise architect, your duties include aligning the company’s strategy with technological solutions. You help businesses achieve their objectives by identifying needs and then designing system architecture to meet specific requirements.
Preferred qualifications: A bachelor level education combined with a master’s degree and field instruction in enterprise architecture can help you enter the workforce as an enterprise architect. The excessive & growing demand makes enterprise architects land on one of the highest salary data science jobs in India.
Future Scope: Being more beneficial to only businesses and filling different business gaps, the application field of enterprise architecture might be a little constrained, yet the targeted audience for this field is enormous and is expected to grow. Therefore, there will be a handsome amount of job opportunities in the future.
Salary:
The average enterprise architect salary in India is ₹37.6 lakhs per annum.
Enterprise Architect Salary based on Locations:
| City | Salary |
| Bangalore | ₹ 36.7 Lakhs |
| New Delhi | ₹ 36.3 Lakhs |
| Mumbai | ₹ 34.8 Lakhs |
| Hyderabad | ₹ 35.5 Lakhs |
| Pune | ₹ 35.8 Lakhs |
| Chennai | ₹ 34.7 Lakhs |
| Noida | ₹ 36.7 Lakhs |
| Gurgaon | ₹ 34.7 Lakhs |
Enterprise Architect Salary based on Experience:
| Experience | Salary |
| 11 Years | ₹ 32.8 Lakhs |
| 12 Years | ₹ 36.1 Lakhs |
| 13 Years | ₹ 40.0 Lakhs |
| 14 Years | ₹ 41.5 Lakhs |
| 15 Years+ | ₹ 43.0 Lakhs |
Enterprise Architect Salary based on Industry:
| Industry | Salary |
| IT Services & Consulting | ₹ 36.5 Lakhs |
| Internet | ₹ 38.2 Lakhs |
| Software Product | ₹ 39.0 Lakhs |
| Financial Services | ₹ 36.7 Lakhs |
| Analytics & KPO | ₹ 34.9 Lakhs |
8. Infrastructure Architect
Role: An infrastructure architect oversees the existing business systems to ensure that they support the new technological requirements. Nowadays, organizations also hire Cloud infrastructure architects to supervise their cloud strategies.
Preferred qualifications: A degree in computer engineering or software development with adequate training in database administration, information system development, and system maintenance. Infrastructure architect has become one of the highest salary data science jobs in India due to its demand.
Future Scope: Organizations will always need human gatekeepers to oversee whether or not the systems are running properly. The number of such roles is bound to experience growth with the rise in the implementation of relevant technology. Therefore, the future opportunities in this field are also bright.
Salary
The average salary of an Infrastructure Architect in India is around ₹25.2 LPA. However, it can range anywhere from ₹14 LPA to ₹33 LPA.
Infrastructure Architect Salary based on Locations:
| City | Salary |
| Bangalore | ₹ 25.3 Lakhs |
| New Delhi | ₹ 25.7 Lakhs |
| Mumbai | ₹ 27.2 Lakhs |
| Hyderabad | ₹ 25.4 Lakhs |
| Pune | ₹ 25.8 Lakhs |
| Chennai | ₹ 25.4 Lakhs |
| Noida | ₹ 25.8 Lakhs |
| Gurgaon | ₹ 25.8 Lakhs |
Infrastructure Architect Salary based on Experience:
| Experience | Salary |
| 9 Year | ₹ 23.6 Lakhs |
| 10 Year | ₹ 24.7 Lakhs |
| 11 Year | ₹ 25.3 Lakhs |
| 12 Year | ₹ 25.7 Lakhs |
| 15 Years+ | ₹ 26.3 Lakhs |
Infrastructure Architect Salary based on Industry:
| Industry | Salary |
| IT Services & Consulting | ₹ 25.2 Lakhs |
| Emerging Technologies | ₹ 20.0 Lakhs |
| Software Product | ₹ 22.3 Lakhs |
| Financial Services | ₹ 23.5 Lakhs |
| Analytics & KPO | ₹ 21.3 Lakhs |
Top Data Science Skills to Learn
| Top Data Science Skills to Learn | ||
| 1 | Data Analysis Course | Inferential Statistics Courses |
| 2 | Hypothesis Testing Programs | Logistic Regression Courses |
| 3 | Linear Regression Courses | Linear Algebra for Analysis |
9. Statistician
Role: Statisticians are hired to collect, analyze, and interpret data, thus assisting the decision-makers with their work. Their day-to-day responsibilities also include communicating findings (data relationships and trends) to stakeholders and contributing to setting operational strategies. In addition to being one of the highest paying data science jobs in India, it is also a fast-paced one.
Preferred qualifications: Entry-level openings may accept candidates with a bachelor’s degree. But most statisticians hold at least a postgraduate diploma in mathematics, computer science, economics, or other quantitative fields.
Future Scope: Not only in India but also abroad, the role of a statistician is highly prioritised. In India, the entry-level jobs might pay comparatively less, but with growing experience, the pay also gets increases. According to the Bureau of Labor Statistics reports, the job role of a Statistician is expected to see 33% growth by 2026.
Salary:
Average statistician salary in India is ₹5.8 lakhs.
Statistician Salary based on Locations:
| City | Salary |
| Bangalore | ₹ 7.3 Lakhs |
| New Delhi | ₹ 3.8 Lakhs |
| Mumbai | ₹ 5.5 Lakhs |
| Hyderabad | ₹ 6.1 Lakhs |
| Pune | ₹ 7.7 Lakhs |
| Kolkata | ₹ 8.1 Lakhs |
| Ahmedabad | ₹ 3.9 Lakhs |
| Chennai | ₹ 3.6 Lakhs |
Statistician Salary based on Experience:
| Experience | Salary |
| 1 Year | ₹ 3.5 Lakhs |
| 2 Year | ₹ 4.9 Lakhs |
| 3 Year | ₹ 5.7 Lakhs |
| 4 Year | ₹ 5.9 Lakhs |
| 5 Year | ₹ 7.3 Lakhs |
Statistician Salary based on Industry:
| Industry | Salary |
| IT Services & Consulting | ₹ 5.9 Lakhs |
| Education & Training | ₹ 4.8 Lakhs |
| Healthcare / Pharma | ₹ 13.5 Lakhs |
| Financial Services | ₹ 8.0 Lakhs |
| Analytics & KPO | ₹ 10.6 Lakhs |
10. Business Intelligence Analyst
Role: BI analysts formulate strategic plans for businesses while ensuring that the required information can be utilized with ease. They also facilitate end-user understanding of the BI tools and applications developed by them.
Preferred qualifications: The work of BI analysts calls for a combination of technical expertise with the know-how of business and management concepts. Many candidates hold an MBA with a specialization in analytics. Having business research and project coordination experience can give you a competitive edge.
Future Scope: As the business intelligence field itself is considered one of the fastest growing industries, the job of a business intelligence analyst holds great potential. Inclination towards a more analytical approach in business is another reason behind the increasing demand for the job, which is also expected to stay constant in the future.
Salary:
Average business intelligence salary in India is ₹8.6 lakhs.
Business Intelligence Analyst Salary based on Locations:
| City | Salary |
| Bangalore | ₹ 8.9 Lakhs |
| New Delhi | ₹ 8.2 Lakhs |
| Mumbai | ₹ 7.4 Lakhs |
| Hyderabad | ₹ 8.3 Lakhs |
| Pune | ₹ 7.8 Lakhs |
| Chennai | ₹ 7.4 Lakhs |
| Noida | ₹ 7.5 Lakhs |
| Gurgaon | ₹ 7.3 Lakhs |
Business Intelligence Analyst Salary based on Experience:
| Experience | Salary |
| 1 Year | ₹ 6.0 Lakhs |
| 2 Year | ₹ 7.0 Lakhs |
| 3 Year | ₹ 8.0 Lakhs |
| 4 Year | ₹ 9.1 Lakhs |
| 5 Year | ₹ 10.0 Lakhs |
Business Intelligence Analyst Salary based on Industry:
| Industry | Salary |
| IT Services & Consulting | ₹ 8.1 Lakhs |
| Internet | ₹ 10.8 Lakhs |
| Software Product | ₹ 10.8 Lakhs |
| Financial Services | ₹ 7.5 Lakhs |
| Analytics & KPO | ₹ 8.7 Lakhs |
11. Data Engineer
A data engineer is responsible for maintaining and managing the data at the organisational level. It is one of the highest-paying jobs for data scientists. The data engineers use various tools and technologies, such as statistical analyses, programming skills, software development, etc.
Top skills required for Data Engineers –
- SQL
- Data Warehousing
- Data Architecture
- Coding
- Operating System
- Machine Learning
The question of which company pays the highest salary for data scientists in India is tricky to answer as various factors determine the salary. But the average salary for a data engineer is 10.8 lakhs per annum.
Data Engineer Salary based on Locations:
| City | Salary |
| Bangalore | ₹ 11.2 Lakhs |
| New Delhi | ₹ 11.1 Lakhs |
| Mumbai | ₹ 10.0 Lakhs |
| Hyderabad | ₹ 10.6 Lakhs |
| Pune | ₹ 9.9 Lakhs |
| Noida | ₹ 10.3 Lakhs |
| Gurgaon | ₹ 12.5 Lakhs |
| Chennai | ₹ 10.4 Lakhs |
Data Engineer Salary based on Experience:
| Experience | Salary |
| 1 Year | ₹ 6.5 Lakhs |
| 2 Year | ₹ 7.6 Lakhs |
| 3 Year | ₹ 9.1 Lakhs |
| 4 Year | ₹ 11.3 Lakhs |
| 5 Year | ₹ 13.8 Lakhs |
Data Engineer Salary based on Industry:
| Industry | Salary |
| IT Services & Consulting | ₹ 9.3 Lakhs |
| Software Product | ₹ 11.5 Lakhs. |
| Internet | ₹ 14.1 Lakhs |
| Financial Services | ₹ 11.1 Lakhs |
| Analytics & KPO | ₹ 11.7 Lakhs |
12. Quantitative Analyst
Quantitative analysts are commonly called ‘quants’. They are fully responsible for using advanced statistical tools. They involve themselves in analysis to solve problems, identify the right answers to questions, and predict future happenings.
The highest-paying companies for data scientists in India require Quantitative Analysts to possess various skill sets, such as.
- Object-Oriented Programming
- Big Data Modelling
- C++
- Data Mining
- Machine Learning
- Python
- SQL
This is also one of the highest-paying jobs in data science. The average salary for a quantitative analyst is 22.9 lakhs per annum.
Quantitative Analyst Salary based on Locations:
| City | Salary |
| Bangalore | ₹ 18.8 Lakhs |
| New Delhi | ₹ 15.8 Lakhs |
| Mumbai | ₹ 17.3 Lakhs |
| Hyderabad | ₹ 22.2 Lakhs |
| Pune | ₹ 10.3 Lakhs |
| Noida | ₹ 11.5 Lakhs |
| Gurgaon | ₹ 23.6 Lakhs |
| Chennai | ₹ 10.9 Lakhs |
Quantitative Analyst Salary based on Experience:
| Experience | Salary |
| 1 Year | ₹ 16.0 Lakhs |
| 2 Year | ₹ 17.2 Lakhs |
| 3 Year | ₹ 14.1 Lakhs |
| 4 Year | ₹ 16.4 Lakhs |
| 5 Year | ₹ 17.2 Lakhs |
Quantitative Analyst Salary based on Industry:
| Industry | Salary |
| IT Services & Consulting | ₹ 16.6 Lakhs |
| Banking | ₹ 22.4 Lakhs |
| Internet | ₹ 12.4 Lakhs |
| Financial Services | ₹ 25.5 Lakhs |
| Analytics & KPO | ₹ 13.4 Lakhs |
13. Data Warehouse Architect
The highest-paying data science companies in India also have Data Warehouse Architects in their organisation. The profession is considered a specialised sub-field in the world of data engineering. They are responsible for organising data storage systems.
The skills required for a Data Warehouse Architect are –
- SQL
- Python
- Oracle
- Python
- Cobol
They are one of those professionals who get the highest salaries of data scientists in India. The average salary for a Data Warehouse Architect is 25.9 lakhs per annum.
Data Warehouse Architect Salary based on Locations:
| City | Salary |
| Bangalore | ₹ 20.0 Lakhs |
| Chennai | ₹ 26.0 Lakhs |
| Mumbai | ₹ 17.4 Lakhs |
| Hyderabad | ₹ 26.3 Lakhs |
| Pune | ₹ 23.0 Lakhs |
Data Warehouse Architect Salary based on Experience:
| Experience | Salary |
| 8 Years | ₹ 19.5 Lakhs |
| 9 Years | ₹ 22.3 Lakhs |
| 12 Years | ₹ 25.4 Lakhs |
| 13 Years | ₹ 26.3 Lakhs |
| 15 Years+ | ₹ 30.0 Lakhs |
Data Warehouse Architect Salary based on Industry:
| Industry | Salary |
| IT Services & Consulting | ₹ 26.0 Lakhs |
| Software Product | ₹ 24.8 Lakhs |
| Internet | ₹ 32.5 Lakhs |
| Financial Services | ₹ 25.8 Lakhs |
| Analytics & KPO | ₹ 25.9 Lakhs |
Learn: Business Analysis Vs Business Intelligence: Differences Between BA & BI
Average Salary of Data Scientists in Other Countries
Data scientists’ pay varies greatly across national borders. These differences result from the fluctuating cost of living, demand for data professionals, and the field’s explosive global expansion. As previously stated, a data scientist’s pay is heavily influenced by their location; in the US, pay for this position is very high.
- Novices in data science often make around $95,000 (roughly 70 lakh) annually. A person with four to six years of experience may earn $135,000 to $195,000 annually in the USA.
- With seven to ten years of data science knowledge and skills, you may make anywhere from $165,000 to $260,000 annually—more than one crore in Indian rupees.
- Data scientists in Germany and the UK may make substantial salaries. They might earn between £50,000 and £70,000 annually in the UK. It might range from €40,000 to €70,000 per year in Germany. Because of these nations’ robust IT and research sectors, there is an increasing need for highly qualified data professionals.
Data scientist wages are rising quickly in emerging nations like Brazil and India. The average salary of data scientist in India is around 5 to 8 lakh. However, they’re still less frequent than in more developed markets.
Check the list of median salaries for data scientists in various nations below:
| Country | Average Data Scientist Salary |
| United States | ₹ 89 LPA (USD 108,053 p.a.) |
| Australia | ₹ 56.19 LPA (AUD 101,296 p.a.) |
| Canada | ₹ 61.20 LPA (CAD 99,656 p.a.) |
| United Kingdom | ₹ 50.07 LPA (£ 49,954 p.a.) |
| Singapore | ₹ 56.49 LPA (SGD 93,000 p.a.) |
| Europe | ₹ 48.22 LPA (€55475) |
Must-have skills for data science professionals
- Background in mathematics, statistics, and computer science
- Knowledge of analytical tools – for example, R
- Understanding of calculus, multivariate analysis, data visualization, etc.
- Ability to convey, both verbally and visually, complex ideas in simple terms
- Intellectual curiosity, business acumen, and team orientation
Apart from having the right skills, the data scientist salary also depends on the hiring company. Below are some companies that give the highest salary of data scientist in India.
Companies Offering Lucrative Data Science Salary in India
1. Flipkart
Flipkart is a major e-commerce player in Indias, selling everything from fashion and lifestyle products to consumer electronics. It employs data scientists in various roles, giving them an average salary of Rs 17,00,000 annually.
2. Walmart
Walmart has its modern wholesale stores spread across 8 locations in India. It hires for many data science positions, paying an average annual compensation of Rs 22,75,000. Typically, the compensation ranges between Rs 17,00,000 and Rs 28,00,000 per annum.
3. Amazon
Being one of the biggest e-commerce players globally, Amazon needs data science talent for numerous core functions. Some of them include supply chain optimization, detection of frauds and fake reviews, inventory and sales forecasting. Amazon has several offices in India that hire data scientists. Glassdoor estimates the salary range at Rs 578,000-Rs 19,98,000, depending on the role.
Know more: Amazon AWS VPC Tutorial: An Extensive Guide on Creating an AWS VPC
4. Hewlett Packard Enterprise
IT solutions by HPE aim to assist customers by managing and assessing their data. Data scientists at HPE can make anywhere from Rs 8,00,000 to Rs 22,00,000.
5. IBM
IBM is a leader in providing valuable collaborative tools to data scientists, application developers, and other experts. Data scientists at IBM make it easier to work with structured and unstructured data and train models at scale. They make an average salary of Rs 13,50,000 in India.
6. Deloitte
Deloitte uses advanced statistical methods to offer end-to-end business solutions to practitioners in the field of data science. This Big Four firm employs professionals in different roles with total compensation between Rs 12 and 13 lakh per annum.
7. Accenture
This prominent global professional services firm designs strategies and delivers them using integrated data resources. The typical salary of data scientists at Accenture is Rs. 10, 50,000 p.a.
8. [24]7.ai
[24]7.ai is a leader in customer-driven solutions that help companies interact with consumers using artificial intelligence. Data science jobs at this firm pay Rs 16,00,000 p.a. on average.
9. LinkedIn
LinkedIn operates through web and mobile apps, providing employment-related services to millions of people worldwide. Data scientist salaries start from Rs 13,00,000 p.a. and touch Rs 22,00,000 p.a. for high-level positions.
10. Citrix
This US-based multinational corporation offers networking, cloud computing, and SaaS in India. The analytics and research teams at Citrix undertake data science projects for attaining a competitive advantage in the market and predict results to align its work with the mission. Annual pay for data science and related jobs starts from Rs 6,00,000 and can go up to Rs 27,00,000.
11. Fractal Analytics
It is the second-largest analytics firm in India. Fractal hires data science professions at annual packages of around Rs 15,00,000.
12. Two Roads Tech
This software development firm in Bangalore works mainly in the financial domain. The average salary range for data scientists at Two Roads Tech is Rs 23,00,000 to Rs 35,00,000.
These were the top recruiters that provide data scientist highest salary in India.
Top Trends in Data Science
The scope for data science is limitless in the current global context. So, it is no surprise that the highest paying jobs in data science show inclination towards individuals who continuously update their skill sets. Your critical thinking abilities, married with awareness about the latest market trends, can set you apart from the crowd. Here are a few prompts that will get you started on your knowledge-filled journey:
- Extended business value: As the big data landscape gets complicated and the need for better governance rises, data analyses would entail even higher costs. We would need novel chip infrastructures to reduce reliance on centralized systems. So, scalable AI and ML solutions would have to be accelerated.
- The rise of data pipelines: As more data is generated, we would need better mechanisms for filtering and analytical purposes. Data pipelines augmented with AI capabilities would facilitate graph analytics, which can be immensely powerful in predicting and planning for natural disasters.
Owing to the increased creation of data, updates are required for data analysis. Data channels augmented with AI capabilities will allow graphical analysis. Consequently, it would be prominently significant in the planning and prediction of unusual scenarios.
- Responsible AI: A Gartner study forecasts that about 75 percent of enterprises will move on from piloting AI and start operationalizing it by 2024. In the wake of the coronavirus outbreak, AI, ML, and NLP techniques can also provide vital predictions and countermeasure impact for similar pandemic situations.
- Massive IoT adoption: More smart devices (Google Assistant, Microsoft Cortana, Amazon Alexa, Apple Siri, etc.) would automate everyday tasks in our homes and offices.
- The collision of data and analytics roles: As vendors start offering end-to-end workflows and technology advancements occur, there would be little distinction between the data and analytics markets. Augmented analytics would demand greater collaboration and processes that support efficient communication between the two roles.
- Prolonged value in the business: Because data science is becoming critical and the need to obtain higher authority increases, the data evaluation needs a big amount. It is necessary to have novel-chip infrastructures to reduce trust in central networks. Hence, machine learning resolutions and scalable AI abilities must be enhanced. The high data scientist salary in India is due to their ability to enhance business value.
Sought-after Data Scientists skills:
Various skills are required to become a successful data scientist. What skills are required relies on the type of industry. Data science can be used in different scenarios, including enhancing supply chain processes, determining marketing strategies, and providing services depending on customers’ demands. Here are the most sought-after skills of data scientists:
Data Query and Collection:
Data scientists should be able to collect and query data from different sources. They should be able to determine what sources are required and what information is most valuable to filter through. After successfully performing these tasks, data scientists can assess problems or create a sophisticated forecast depending on the information they hold.
Programming and coding:
One of the reasons for the highest salary of data scientist in India is they also possess great coding and programming skills. They are experienced at writing and analyzing code in Python and R. Their exceptional coding and programming skills help them easily understand programming. Advanced coding skills are required to deploy data structures or to outshine as a data engineer or data architect.
Mathematics, Statistics, and Computer Science Theory:
Data scientists must master traditional academic subjects like mathematics, computer science, and statistics. These skills help them configure machine learning for algorithmic learning using different research methods. Consequently, they gain more insight on various topics and improve a network’s security practices.
Teamwork and data presentation:
Typically in larger organizations, many tasks need individual participation. However, certain projects need data scientists to work in teams and also master soft skills. The same entails working with engineers to derive a solution. Powerful communication skills are obligatory for data scientists.
Analytical and creative thinking:
It is possible to earn the highest salary of data scientist in India if analytical and creative thinking skills are incorporated in addition to core technical skills. These skills help them achieve solutions to different issues from the gathered information. Moreover, these skills help them efficiently handle their data collecting and problem-solving tasks.
Summing up
These are the top 10 highest paying data science jobs in India. Data science is shaping the industry as we know it. In this article, we described the responsibilities and qualifications of some of the highest paying jobs in data science. We also looked at the leading companies who recruit talent in this space. Candidates who possess the required skills can earn as high Rs 28,00.000 annually working with big players like Walmart. Glassdoor estimates the average data science salary in India at Rs 10,00,000 a year.
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Data science has tremendous applications in industries across the globe, and not just in tech. Moreover, the demand and supply of data science professionals in today’s job market are incongruent. So, aspirants who hone your skills, earn the necessary credentials, and march on the career path of your choice!
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