Data Scientist Salary in India in 2024 [For Freshers & Experienced]

Summary:

In this article, you will learn about Data Scientist salaries in India based on Location, Skills, Experience, country and more.

Read the complete article to know in detail.

Wondering what is the range of Data Scientist salary in India?

Career opportunities in data have exponentially grown in the recent few years. Companies are eager to capture data and derive insights from it because of the technological advancements we are seeing. Accessibility of the data today can help to reap multiple benefits organizations from it. Because of this reason, companies are not shying away from offering increased data scientist salaries in India. Companies are throwing huge salaries at those having the skills to take on the positions of Data Analysts, Scientists, Engineers, etc. 

You can check out upGrad’s Data Science Free Courses page, and choose the course you want to learn to bag a high data scientist salary in India.

India is the second-highest country to recruit employees in the field of data science course or data analytics, etc. with 50,000 positions available – second only to the United States. Following the growth of data science as a field, the offered data science salary and The demand for data experts is equally competitive, whether you look at the big companies, the e-commerce industry or even start-ups.

Thus, if you have the required skill set and are ready to keep yourself updated, your career as a Data Scientist is expected to keep growing onwards and upwards. This line stands true especially when we consider that a data scientist’s salary in India is directly or indirectly dependent on how upskilled and updated they are.

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We are sure, this must-have sparked a will to become a Data Scientist within you! This can be your first step towards earning a good data science salary, so Let’s take a look at who exactly is a Data Scientist and what is a typical Data Scientist’s salary in India.

Also, read our article on statistics for data science free courses

Data Science – What Is It? 

Before diving into the detailed scenario of data scientist salary in India, let us first familiarize ourselves with what the subject entails, its need, and its rising importance across industries. 

Data science has achieved its position as a transformative force in the current digitized world. It has revolutionized the way businesses operate, how researchers gain insight, and how leaders make informed decisions. 

With the rapid digitization of all sectors, the amount of data generated is unimaginable. This unprecedented influx of data has turned data science into an indispensable discipline. It is imperative to analyze and extract meaningful insights from this raw, unstructured data, and identify patterns and trends in the massive datasets for businesses to succeed in this data-driven world.

Data science is an interdisciplinary field that uses algorithms, scientific processes, methods, and systems to extract meaningful insights from both unstructured and structured data. It encompasses a range of techniques, including data analysis, machine learning, statistical modeling, and data visualization, to uncover valuable information hidden within large datasets.

Why is Data Science Important?

To understand the growing demand for data scientists and the high data scientist average salary in India, it is essential to gain an understanding of its impact in the various sectors. From scientific research to the financial sector, from medicine to automation, data is at the crux of every sector. 

Mentioned below are a few reasons illustrating how data science plays a crucial role in today’s world:

• Big Data – The digital revolution led to an explosion in the volume, velocity, and variety of data generated daily. Commonly referred to as big data, this phenomenon presents both challenges and opportunities. By leveraging the power of data science, organizations can harness big data to make strategic decisions. If used efficiently, the data gathered can be used as a resource to innovate and gain a competitive advantage.  
• Business Intelligence and Decision-making – The dynamic nature of the business world has turned data science into a pivotal player. Data science drives strategic decision-making, helping businesses analyze customer behavior, market trends, and operational efficiency. Predictive analytics and machine learning models help organizations forecast future trends, optimize resource allocation, and identify areas for improvement. This ultimately contributes to increased profitability and competitiveness.
• Scientific Research and Discovery – Data science is the backbone of scientific research. It facilitates the analysis of complex datasets in all fields, be it physics, biology, or environmental science. Data science triumphs over traditional methods in aiding researchers to discover patterns, validate hypotheses, and gain insights, which otherwise would be extremely challenging.
• Healthcare – Data science has become a game-changer in the healthcare industry. By analyzing large datasets like patient history, clinical trials, and others, medical professionals can formulate personalized treatment plans, detect diseases early, and develop targeted therapies. This not only enhances the efficiency of the overall healthcare system but also improves patient outcomes.
• Policy-making – Governments and authoritative bodies leverage data science to devise policies backed by evidence. Analysis of social, economic, and demographic data enables policymakers to make informed decisions, allocate resources effectively, and implement timely interventions that positively impact communities.
• Technological Advancements and Automation – Data science is inextricably intertwined with technological advancements like artificial intelligence (AI) and machine learning (ML). These technologies aim to drive innovation, optimize processes, and create smart systems equipped with the ability to learn and adapt. A few instances of such intelligent systems where data science plays a pervasive role include virtual assistants, self-driving cars, chatbots, etc.

Who is a Data Scientist & What Do They Do?

Data Scientists are inherently analytical data experts equipped with the requisite skills to solve complex problems complemented with the unquenching thirst for exploring a wide array of issues that need to be addressed. They are highly skilled individuals combining the best of both worlds – IT and business. Hence, data scientists are part computer scientists, part mathematicians, and part trend-analysers. Because of the demand, the data scientist’s salary in India is one of the highest.

Data Science has varied applications, ranging in different fields, such as-

1. Manufacturing
2. E-Commerce
3. BFSI
4. Healthcare
5. Transportation

This industry has real-world applications where data science makes the operations of the company much more data-driven, accurate and speedy. The data scientist through their knowledge allows the company to respond to the market trends quickly. This response to the trends allows the company to acquire new customers by understanding their needs and not only that, but it also allows the company to retain the existing customers.

Data understands the customer’s requirements and allows the company to make decisions that favor their customers. That eventually leads to better customer satisfaction and bigger revenue. A data scientist creates a bigger impact on the company’s value which leads to them being highly compensated for their efforts and skills, and that is one of the reasons why a data scientist salary is high.

A data scientist might not be a conventional role, but it sure comes with ample potential to ensure it stays relevant in the near future and a considerably higher average salary of data scientist in India as its proof. Perhaps, even beyond that! After all, data in real-time is the most realistic measure of anything you want to analyze!

Read: Career in data science and its Scope.

Requisite skills for a data scientist

• Knowledge of algorithms, statistics, mathematics and machine learning.
• Programming languages such as R, Python, SQL, SAS, and Hive.
• Business understanding and the aptitude to frame the right questions to ask, and find answers in the available data.
• Communication skills in order communicate the results effectively to the rest of the team.
• A firm grasp of data mining, deep learning, data warehouse, and others.
• Extensive knowledge of the industry they work in.

It is recommended that the candidates aspiring for the data science role acquire the recommended skills, for them to be able to solve the problems and to ace in their career. The freshers who are new to the industry are advised to begin by acquiring the basic knowledge and understanding the usage of basic programming languages and tools. That would help them to get high data scientist salary for freshers.

Appealing Trend of Data Science in India 

Data science is swiftly progressing in India as many enterprises acknowledge the significance of making data-based decisions. We aim to delve into the job scenario of data science in India, encompassing various levels of experience, role categories, data scientist salary, and trends across different cities.

Experience Levels

Data science positions in India span a spectrum of experience tiers, encompassing roles ranging from novices to seasoned leaders. At the entry-level, prerequisites typically involve a bachelor’s degree in pertinent domains such as computer science or statistics, coupled with rudimentary familiarity with programming languages like Python or R. Some instances of entry-level designations in the realm of data science comprise data analyst, data engineer, and data scientist with a decent data scientist salary.

Companies often stipulate a minimum of 3-5 years of industry exposure for intermediate-level positions, complemented by a master’s or doctoral qualification in pertinent disciplines. Roles at this tier may entail data science manager, data architect, or machine learning engineer.

Ascending to senior leadership roles within data science necessitates considerable hands-on experience, augmented by advanced degrees and an established history of accomplishments in the field. Illustrative positions in this category encompass chief data officer, director of data science, and head of data analytics.

A heightened demand exists for mid and senior-level data science professionals compared to their entry-level counterparts in the Indian context. Nevertheless, the call for entry-level professionals is also steadily gaining momentum. The request for data science experts possessing 0-3 years of experience has surged by 45% over the past year offering a good fresher data scientist salary in India. This surge can be ascribed to the mounting inclination of companies towards data-driven decision-making, propelling the search for professionals capable of harnessing data to foster business expansion.

City-wise Trends

In urban areas, Bangalore, Delhi, Mumbai, and Hyderabad emerge as the leading Indian cities offering the most excellent prospects for data science employment. These urban hubs boast a significant clustering of IT firms, startups, and other sectors heavily reliant on data scrutiny. Bangalore takes the lead regarding data science job vacancies with a decent data scientist salary, followed by the Delhi National Capital Region (NCR) and Mumbai.

• Bangalore: Regarded as the nucleus of India’s technological sector, Bangalore harbours a flourishing community dedicated to data science. Numerous eminent tech enterprises, including Google, Amazon, and Microsoft, are situated within its bounds, boasting substantial cohorts of data scientists under their employ with great data scientist salary in Bangalore.The average data scientist salary Bangalore is around ₹13.6 lakh per annum. Data scientist fresher salary in the city starts at approximately ₹4 lakh per annum, while it is around ₹26 lakh per annum for experienced professionals.
   
• Delhi: Another prominent Indian city rapidly growing in the data science industry is Delhi. The city’s progress in this area is fueled by several significant banking and financial organisations and e-commerce behemoths like Flipkart and Snapdeal, all of which have headquarters in Delhi.The data science package in the capital city starts at ₹3.5 lakh per annum. The highest salary can range up to ₹23 lakh per annum, with the average annual salary being the same as that of Bangalore.
• Mumbai: Banks, insurance companies, and investment companies are just a few major participants in the financial services industry that have their headquarters in Mumbai. These organisations primarily rely on data analysis to guide their business decisions, offering good data scientist salary in Mumbai, making it an attractive location for anyone seeking jobs in data science.The average payscale for data scientists in the financial capital of India is ₹12.8 lakh per annum.
• Pune: In the last decade, Pune has gained prominence as an employment hub. It houses offices of several top-tier MNCs like Tata, Infosys, Capgemini, and Tech Mahindra, as well as mid-cap and small-cap companies. The alluring location along with the lucrative packages, make it a top choice for data scientists seeking job opportunities in the sector.
  The average annual salary of data scientists in the city lies around ₹12.3 lakh per annum. The highest salary a data scientist can earn ranges around ₹20 lakh per annum while the data scientist starting salary is ₹3.6 lakh per annum.
   

Strategies For Securing a Career in Data Science in India

• Acquire Data Science Skills

Data science enthusiasts should concentrate on honing their technical skills and expanding their knowledge of the subject. This may be accomplished by registering for classes, reading pertinent material, and passing online tutorials.

• Attend Conferences & Workshops

Networking opportunities and insights into cutting-edge technology may be found by participating in data science conferences and workshops. Additionally, it allows participants to network with potential employers or recruiters and gain a deeper comprehension of the data science industry.

• Networking

Contacting people in the data science industry can bring you new ideas on prospective job opportunities and create connections that could one day be useful.

• Pursue Certifications

Another way to demonstrate expertise and strengthen one’s CV when looking for jobs in data science is to obtain professional certifications relevant to the industry. The designations Cisco Certified Data Scientist (CCDS), Microsoft Certified Data Scientist (MCDS), and others are examples of well-respected credentials.

Data Science Job Roles For A High Data Science Salary In India

1. Data Scientists

Data science is basically statistics implemented through programming. Alongside R, Python has also shown its mettle in sorting out data as per generic as well as specific requirements. As far as India is concerned, Python programmers for data science earn more than both software developers as well as DevOps programmers. The reason for this is that data collection, data cleaning and processing is becoming very common nowadays as companies need data to gather market and customer information.

This requires a niche of Python programmers who are specially trained in the collection and processing of data through libraries like NumPy and Pandas. Data scientists are in high demand with a higher Data Science Salary In India, including major metros like Delhi-NCR and Mumbai and emerging cities such as Pune and Bangalore.

Data Scientists help the company in working with large data and make effective decisions in a short span of time. The data scientists use statistics, code, analyse the data and draw actionable insights from the data. They also effectively communicate the findings and report those to the concerned stakeholders who are responsible for effective business decision-making.

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Responsibilities of Data Scientists

• Gathering vast amounts of structured and unstructured data and converting them into actionable insights.
• Identifying the data-analytics solutions that hold the most significant potential to drive the growth of organisations.
• Using analytical techniques like text analytics, machine learning, and deep learning to analyse data, thereby unravelling hidden patterns and trends.
• Encouraging data-driven approach to solving complex business problems.
• Cleansing and validating data to optimise data accuracy and efficacy.
• Communicating all the productive observations and findings to the company stakeholders via data visualisation.

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Data Scientists Salary Range in India

The salary of data scientist in India varies widely based on several factors. Though, The average data scientists salary is ₹698,412. An entry-level data scientist can earn around ₹500,000 per annum with less than one year of experience. Early level data scientists with 1 to 4 years experience get around ₹610,811 per annum.

A mid-level data scientist with 5 to 9 years experience earns ₹1,004,082 per annum in India. As your experience and skills grow, your earnings rise dramatically as senior-level data scientists around more than ₹1,700,000 a year in India!

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The data scientists are highly paid due to the ever evolving nature of this field. The field of data science is evolving, and entrusted with major responsibilities. The demand for these skills are global as the organsiations have become data driven and to bring analytical quotient in the decision making, data scientists plays a major role.  And the demand is equally high in India as well, which is seen in the compensation the data scientists receive, as the data scientist salary in india is high. Some of the top companies that recruit for data science are Amazon, Deloiite, EY, IBM, Microsoft.

2. Data Engineers

The primary job of a Data Engineer is to design and engineer a reliable infrastructure for transforming data into such formats as can be used by Data Scientists. Apart from building scalable pipelines to covert semi-structured and unstructured data into usable formats, Data Engineers must also identify meaningful trends in large datasets. Essentially, Data Engineers work to prepare and make raw data more useful for analytical or operational uses. There are many myths about data engineers and most of them are far from reality.

In an organization, the position of a Data Engineer is as vital as that of a Data Scientist. The only reason why Data Engineers remain away from the limelight is that they have no direct link to the end product of the analysis. However, with the growing market demand and a growth in the average salary of data scientist in India, people now see a potential career in it, expanding the market even further. 

The market scope for data engineering is growing rapidly and the Data Engineering market in India is USD 18.2 billion in 2022.

Data Engineers, collect the data, manage it and prepare it for it to be used by the Data scientists. They facilitate in procuring the data to be used either by the business analysts or data scientists. Data engineers mainly work with Java and Python. They gather and process the raw data to create data pipelines. Majorly they work with tools such as NoSQL, Hadoop, etc.

Responsibilities of Data Engineers

• Integrate, consolidate, and cleanse data collected from multiple sources.
• Prepare raw data for manipulation and predictive/prescriptive modelling by Data Scientists.
• Develop the necessary infrastructure for optimal extraction, transformation, and loading of data from disparate sources using SQL, AWS, and other Big Data technologies.
• Deploy sophisticated analytics programs, machine learning algorithms, and statistical techniques to build data pipelines.
• Assemble vast and complex data sets to cater to the functional and non-functional business requirements.
• Identify and develop innovative ways to improve data reliability, efficiency, and quality.
• Develop, construct, test, and maintain data architectures.

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Skills required to be a Data Engineer

• Active project management and organizational skills.
• Strong analytic skills to handle and work with large, unstructured datasets.
• Strong programming flair in trending languages, including Python, Java, C++, Scala, Ruby, etc.
• Advanced working knowledge of SQL, along with experience in working with relational databases.
• Proficiency in working with a wide variety of databases.

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Data Engineer Salary Range in India

According to Glassdoor, the average Data Engineer salary in India is Rs.8,56,643 LPA. But of course, the Data Engineer salary depends on several factors, including company size and reputation, geographical location, education qualifications, job position, and work experience. Reputed companies and big players in the Big Data industry like Amazon, Airbnb, Spotify, Netflix, IBM, Accenture, Deloitte, and Capgemini, to name a few, usually pay high compensation to Data Engineers. Also, the more your past work experience in Big Data, the higher will be your market value.

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“While IT firms have shown a negative trend, the demand for data engineering professionals has increased across the companies, resulting in a significant jump in their salary structure. Whereas for salaries across analytics skills, advanced analytics roles and predictive modelling professionals grabbed the limelight compared to other roles.”

As for Data Engineers in their early career (1-4 years of experience), they make anywhere around Rs.7,37,257 LPA. As they proceed to mid-level (with 5-9 years of experience), the salary of a Data Engineer becomes Rs.1,218,983 LPA. Data Engineers having over 15 years of work experience can make more than Rs.1,579,282 LPA.

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3. Data Analyst

Data Analysts are professionals who translate numbers, statistics, figures, into plain English for everyone to understand. They earn a good pay based on data analyst and data scientist salary India.

Given the circumstances, there’s always an increasing scope for Data Analysts at the workplace, and it may be an excellent choice for those who have a strong foothold in mathematics, statistics, computer science or business backgrounds. This position includes data mining, fluency in languages like SQL, Python, etc. to extract the relevant insights from the data sets as well as channel those ideas through visualizations and reports.

The data Analyst market is expected to grow to USD 655.53 billion by 2029. Data Analysts mine the data, make sure the quality is intact, and prepare the data for better scrutiny. They majorly define the purpose of the data, analyse, interoet and predict the data. Once they are through with the data process, the data analysts present the insights darwin from the data to the stakeholders. The insight could be anything depending upon the purpose of the data.  The top recruiters for Data Analyst are, Deloitte, LinkedIn, Flipkart, IBM, MuSigma, etc.

Data Analyst Responsibilities

These are some of the responsibilities a data analyst must obtain to obtain lucrative opportunities in the market, just as the high salary of data scientist in India. 

• To analyze and mine business data to identify correlations and discover valuable patterns from disparate data points.
• To work with customer-centric algorithm models and personalize them to fit individual customer requirements.
• To create and deploy custom models to uncover answers to business matters such as marketing strategies and their performance, customer taste, and preference patterns, etc.
• To map and trace data from multiple systems to solve specific business problems.
• To write SQL queries to extract data from the data warehouse and to identify the answers to complex business issues.
• To apply statistical analysis methods to conduct consumer data research and analytics.

Data Analyst Salary in India

For a data analyst in India, having 1 – 4 years of experience has a gross earning (including tips, bonus and overtime pay) of Rs 3,96,128, while a mid-career Data Analyst with 5 – 9 years of experience can make up to Rs 6,03,120 based on the organization and the location of the working place. And if you are a matured and experienced Data Analyst who has been in the industry or 10 – 19 years can earn an average total compensation of Rs 9,00,000.

The salary might seem lower than the usually offered data scientist salary per month, but with experience, and skillset, the numbers are bound to grow.

Source

– 78% of the analytics professionals in India are under the salary bracket of 0 – 6 Lakhs at their entry level, but since there has been a rise in the number of freshers in Data Analysis in India, this is an excellent indication for maturing the industry.

– The salaries for 4 – 6 years of experienced remain stable at 8.7 Lakhs.

– For the Senior Data Analyst having substantial experience of 12 or more years has witnessed a sharp 20% rise in their salaries last year.

4. Data Science Manager

Data science managers are primarily responsible for overseeing the entire data science team, coordinating projects, managing resources, and ensuring that the team’s efforts align with business objectives. They collaborate with other departments, define project goals, and provide leadership to guide the team toward successful outcomes. Strong project management skills, leadership qualities, and a deep understanding of data science concepts are crucial for this role.

In addition to being fluent in various technical aspects of data science, a data science manager must have effective management capabilities. The role is gaining popularity in several sectors, including retail, healthcare, technology, finance, e-commerce, and marketing.

Data Science Manager Responsibilities

The future scope of data science managers is quite promising as industries grapple with the monumental task of managing humongous amounts of data generated every day. Here are some key responsibilities data science managers have to shoulder:

• A data science manager must keep their team focused on delivering the desired results. They can encourage collaboration among team members and stakeholders by using a process framework. They must also define the metrics for a particular project and the team working on it for efficiency.
• They must develop their teams keeping both short-term and long-term goals in mind as well as based on a specific project’s requirements.
• A manager must provide workable targets, deadlines, and budgets. Presenting well-defined deadlines and budgets helps manage client expectations and reduces uncertainties for team members.
• They lead workflow areas like data acquisition and data quality.
• They add structure to the workflow, reduce tension among team members, absorb shocks, identify disconnects between the business goal and data, and offer feedback. All this contributes to a seamless workflow, a pleasant work environment and improves overall work quality.
• They not only plan, manage, and coordinate business process changes but also oversee production-level code and other IT operations.

Skills Required to Become a Data Science Manager 

Becoming a data science manager requires some fundamental skills, which include:

• Should have strong project management and organizational skills.
• Must be familiar with data storage and data retrieval systems.
• Must have an in-depth understanding of data security, compliance, and privacy regulations.
• Must be aware of data management principles and practices.
• In addition, they must possess excellent communication and interpersonal skills apart from strong problem-solving and analytical skills.
• Must be familiar with data visualization tools like Power BI and Tableau and programming languages like SQL, Python, and R.

Data Science Manager Salary in India

Becoming a data science manager requires considerable experience and extensive management skills. In India, the salary for data science managers is quite high courtesy of the demanding nature of their jobs.

Data science managers with 0-4 years of experience can earn ₹15.5 lakh per annum. The figure can climb up to a whopping ₹62 lakh per annum for those with more than 10 years of experience. The average annual salary for this data science job lies around ₹34.1 lakh per annum. However, the figure is subject to change depending on the job location, the company, and years of experience.

Key Reasons to Become a Data Scientist

1. Highly in-demand field

Data Science is one of the most in-demand jobs for 2021. It is predicted that by 2026, data science and analytics would be having more than 11 million jobs. After the United States, India is the second prominent hub of jobs for data scientists. The demand is one of the important reason why data scientist salary in India is significantly high.

Data is the new oil and the companies have become data driven. With the rising competition, the companies want to respond to the market trends within the shorter span of time. This understanding of the customer’s desires, comes throught the analytical capabilities which are neither vague nor guided by the emotions. That is the reason why data science is adopted and the professionals working in this field are highly paid.

ALso, data does not serve only one purpose rather it serves many purposes such as, application and web development, tracking of data, smart devices, sports, news, banking, etc. Today almost each and every industry works on data and it solves many problems. This is also the reason why it is in demand because the scope of employment is not limited to the tech industry.

2. Highly Paid & Diverse Roles

Not only is the demand for data scientists booming, but the kinds of job positions are also abundant. Such roles are much needed in any organization today. This adds innovation to the business as well as helps any company crunch through data to actually make sense of the same.

The job roles in the data science industry are not limited to the data scientist, data engineer or data analyst. Rather the roles are spreaded, such as-

1. Data Administrator
2. Data Architect
3. Data and Analytics Manager
4. Data Journalist
5. Decision Scientist
6. Statistician

3. Evolving workplace environments

Data science is shaping the workplace of the future. With the advent of artificial intelligence and robotics, more and more routine and manual tasks are getting automated, and data science sure is an innovative step in that same direction. Data science technologies have made it possible to train machines in performing repetitive tasks as humans take on more critical thinking and problem-solving roles.

For example, the consumer identification for the companies, the companies are able to identify their consumers basis the amount of time they spend looking at a page, their kyeowrds for search, etc. Basis the inputs the companies are able to understand what the customer needs and eventually they target the customers accordingly.

4. Improving product standards

Usage of machine learning has enabled companies to customize their offerings and enhance customer experiences.

For example, the e-commerce industry. We give reviews post procuring a product online, the given reviews are the data which we have givine as an input. A product has various reviews and ratings given to them. These reviews are useful for the company’s growth as it helps the company to understand the shortcomings. To analyse these reviews rationally is the task of the data ptofessinals whose insights are not driven by the emotions. This is also how the data science has helped the company in improving the product standards. 

5. Helping the world

Predictive analytics and machine learning have revolutionized the healthcare industry. Data science is saving lives by enabling early detection of tumors, organ anomalies, and more.

Also, data science has helped the banking sector by facilitating the understanding of the customer lifetime value, fraud detection, algorithmic trading and customer segmentation.

Factors Affecting Data Scientist Salary in India

Data Scientist salaries in India can be affected by multiple factors. Let’s see some primary salary affecting factors:

1. Location
2. Experience
3. Skills
4. Company

Data Scientist Salary by Location

The location plays a vital role since this governs the average payout involved as well as the kind of customers the company caters to.

The number of job opportunities and the annual data scientist salary in India for data innovators is the highest in Mumbai, followed by Bangalore and New Delhi. However, since Bangalore is the startup capital of India, it has the most opportunities for jobs in startups. A data scientist’s salary in Bangalore would more likely to be higher than the other cities as it is considered to be the hub of the tech industry of India.

There are certain locations where the salaries given to the professional are high, the reason could be high tech companies being situated there, metropolitan cities, cost of living etc. Also, there are certain cities which attract the highly skilled labour, and companies want to acquire or retain the highly skilled labours and for that they give out competitive salaries and benefits.

Remember that the further a start-up ecosystem takes shape and form, the jobs in data are proportionately set to go up. With more innovations, newer work strategies, and more interesting product types, customer behavior needs to be understood graphically. Moreover, numbers speak the right stories. Marketing, branding, and even sales are strategized as per what numbers reveal about the results.

According to Payscale, Data scientist salary in India based on location:

1. Mumbai – ₹788,789
2. Chennai – ₹794,403
3. Bangalore – ₹984,488
4. Hyderabad – ₹795,023
5. Pune – ₹725,146
6. Kolkata – ₹402,978

Bangalore, Chennai and Hyderabad are among the highest-paying cities for the Data Scientists in India

How Can I Double My Salary? Data Science is Your Answer

Data Scientist Salary by Experience

Experience plays a big role behind procuring a high salary, career growth and advancement. As in all jobs, the more you have experience in the domain, the better your worth is to a company.

Experience is the testimonial for polished skills, technical advancements and better abilities to solve a problem. But the experience is not only looked from the perspective of the hard skills, the emphasis on the soft skills is equally important. The fresher should learn these skills and the experienced people should polish their skills. And eventually the professionals should also undertake certain projects in order to showcase their skillsets and wide applicability of their knowledge.

As you gain more experience, you also have higher exposure. This is what actually adds to your skills and makes you a seasoned player. Data scientist salary per month or annually will dramatically shoot up with every notable jump in experience. Remember that you must keep yourself abreast of the latest trends. Sitting back on your skills will not work in your favor. Re-skilling and learning newer concepts in data is the right road to take.

Let’s see how a Data Scientist salary in India varies based on experience.

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A career in data especially appeals to young IT professionals because of the positive correlation between years of work experience and higher-paying salaries. In this section, we will see how data scientist salary increase based on experience. Salaries in the field of data might look something like the following, in the future:

• For a fresh graduate, the average entry-level data scientist salary in India is ₹511,468.

An early career data scientist with 1-4 years of experience earns an average of ₹773,442 annually.

An employee with 5-9 years of experience would have the potential to secure between INR 12-14 lakhs. According to payscale, the average mid-level data scientist salary is ₹1,367,306.

• A highly experienced employee with decades of experience or who has held managerial roles can expect anywhere from INR 24 lakhs up to a healthy crore of rupees! 

A Data analyst’s salary increases by 50% with a transition/promotion from the role designated to them to a higher level.

Data Scientist Salary by Skills

Skillset is something that you cannot afford to be stagnant on. You need to always be a go-getter and upskill for better career prospects!

Companies look for certain skills which help the company in driving their operations better. The importance of having skillsets is given greater emphasis for a reason. Skills are important for data science because the time taken to do a job lessens, and along with that the ability to solve a problem comes with the knowledge of a wide range of skills. Along with the hard skills, the soft skills allow the professionals to think innovatively and work better for better customer satisfaction.

In order to secure such a high-paying job, you are expected to go beyond the qualifications of a Master’s degree and be familiar with the respective languages and software utilized for managing data. Some more insights from AIM:

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• The most important and coveted skill is being familiar with R followed by Python. Python salary in India alone promises of 10.2 lakhs INR.
• The combination of knowledge of Big Data and Data Science increases a Data Analyst’s salary by 26% compared to being skilled in only one of the areas.
• SAS users are paid between INR 9.1-10.8 lakhs versus SPSS experts earning INR 7.3 lakhs.
• Machine Learning salary in India starts from around 3.5 lakhs INR to if you grow in this field it can take a leap up to 16 lakhs INR. Python is one of the most recommended languages when it comes to ML, and to add to that, Python developers’ salary in India is among one of the highest. The data scientist salary India follows closely as well.
• Extended knowledge of Artificial Intelligence can help you make a career overall. The Artificial Intelligence salary in India offers not less than 5-6 lakhs INR if you are a novice in this industry.

So, now is the time to master your skills in data in order to further optimize your salary!

Data Scientist Salary by Companies

The average company does pay well for data science jobs but the bigger names tend to pay much more than the average. Without a doubt, prestigious firms dominate the charts of the highest paying salaries for data jobs. They also hold a reputation for increasing salaries by 15%, annually. Some of data scientists salary provided by top firms:

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• IBM Corp: INR 1,468,040
• Accenture: INR 1,986,586
• JP Morgan Chase and Co:  INR 997,500
• American Express: INR  1,350,000
• McKinsey and Company: INR 1,080,000
• Impetus: INR 1,900,000
• Wipro Technology: INR  1,750,000

Difference between Data Analyst, Data Scientist, Data Engineer and Data Visualiser

Data Scientist Salary in India

You can notice an exuberating hike in the Data Scientists salary in India. To sum up, even if you find a tad bit of curiosity in this enterprise, there are much higher chances for you to earn higher than your peers working in any other field.

Data Science is a much bigger umbrella that includes a vast variety of subjects that might interest you. From Data Analyst to Machine Learning Engineer, to even Python Developer. All of it comes under the umbrella of “Data Science”, and each of these positions is awarded a hefty salary, obviously, depending on their skillset.

Data Science is a high paying career in India, that is reflected in the high compensation. Also, ther is expected to be a hge growth in data science in India and that is also seen in the traction of data science professionals towards the industry. The highly skilled professionals are turning towards data science because of its high applicability in almost every field.

Data Scientist Salary in Other Countries

Let’s look at the average data scientist salary in other countries.

Data Scientist Salary in The US: $96,072

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Data Scientist Salary in The UK: £40,159

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Salaries of Other Related Roles 

Let’s look at the average salaries of other related roles compared to the Data Scientist salary in India.

Software engineer average salary in India: ₹510,982

Senior Business Analyst average salary in India: ₹975,409

Technical Consultant average salary in India: ₹895,842

IT Consultant average salary in India

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Talking about a usual comparison between AI and ML’s potential, there are ups and downs in both fields. It all comes down to the interest of the individual. One thing is for sure, both fields have a huge scope in the future. In fact, you cannot align the two with or against each other. Going forward, the two will entwine together to be used across a large number of business practices and even applications. 

Conclusion

The opportunities for Analysts and Data Scientists are currently at their prime in India. With the large volumes of data being generated by businesses and the availability of data and tools to extract it – and the urge to gain insights from it. It includes the rise in Data Analyst’s salary and Data Scientists salary India.

We hope you liked our article on Data Scientist salary in India. These numbers above are not set in stone. The real influencer of your salary is the skills you have,  the mastery you have attained over them, and how quickly you grow and make the company grow as well.

You are likely to receive an annual bump up of around 15% in your salary. This will further increase with an increase in the years of work experience and the number of skills you’ve mastered. Therefore, whether you’re starting from scratch or you’re already experienced in the field of data. You’ll always have this motivating factor driving you in your career!

If you are curious about learning data science to be in the front of fast-paced technological advancements, check out upGrad & IIIT-B’s Executive PG Program in Data Science.