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.
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.
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.
Highest Paying Data Science Jobs in India
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.
The average data analyst salary in India is ₹4,19,465 per annum.
Top employers for data analyst jobs:
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.
Average data scientist salary in India is ₹6,98,413.
How data scientists salary grows with experience:
3. 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.
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.
Average machine learning engineer salary in India is ₹6,91,892.
How machine learning engineer salary grows with experience
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.”
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
Average application architect salary in India is ₹1,937,856.
Top employers for application architect job:
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.
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.
Average data architect salary in India is ₹1,946,737.
How data architect salary in India grows with experience
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.
The average enterprise architect salary in India is ₹2,573,419.
How enterprise architect salary in India increases over experience:
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.
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.
Average statistician salary in India is ₹508,647.
How statistician salary increases over experience in India:
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.
Average business intelligence salary in India is ₹577,745.
Top employers for business intelligence jobs:
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
Companies Offering Lucrative Data Science Salary in India
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
- 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.
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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