.png){kind=logo}
Statistics show that the percentage of jobs in data science has heightened to 417%, which exceeds the number in 2020. The demand for data scientists is only on the rise as businesses and tech giants are heavily taking to the digital culture. Besides, as complaints regarding the maladjustment of an avalanche of data persist, companies and business organizations are constantly on the hunt for skilled data scientists.
Skilled data scientists seek companies that promise well-paid salaries. While the hunt for the best well-paid companies can at times be flummoxing, Analytics Insight makes the job easy for you by listing the best ten highly paid data science jobs.
About the Role: Data analysts are responsible for managing huge and large sets of data and scrutinizing information by using data analysis tools. Data analysts are expected to be hyper-pedantic about the data they receive as the decision-making of a company is dependent on the valuable insights generated from the data by the data analysts. One of the very typical duties of a data analyst is to curate reports of the analyses made on the data and presenting them to the management.
Salary: 4,19,465 INR per annum
Skills Required:
Qualification Preferred:
Top Recruiters: Accenture, TCS, Amazon, HSBC, and Capgemini
About the Role: The job of a data scientist is defined as the more technical one than that of a data analyst. Data scientists perform tasks of data preparation like data cleaning and organizing. Data scientists are also responsible for handling huge amounts of data to extricate useful patterns and trends from the data.
Salary: 6,98,413 INR
Skills Required:
Qualifications Preferred:
Top Recruiters: Accenture, Cognizant, Capgemini, IBM India, and Dell.
About the Role: Working in this branch of artificial intelligence, a machine learning engineer is responsible for the creation of programs and algorithms that enable machines to emulate human intelligence. Such machines also include self-driving cars. Additionally, a machine learning engineer also works with theoretical data science models and helps to scale them to production-level models that can process real-time data.
Salary: 691,892 INR per annum
Skills Required:
Qualifications Preferred:
Top Recruiters: ABB, Juniper Network, Accenture, and Dell,
About the Role: Machine learning scientists are often responsible for studying and converting data science prototypes. Additionally, a machine learning scientist designs and develops machine learning schemes as well as performing statistical analysis and fine-tuning models using test results. Like machine learning engineers, machine learning scientists too, work with theoretical data science models and scale them to produce production-level models to handle real-time data.
Salary: 610,811 INR
Skills Required:
Qualifications Preferred:
Top Recruiters: Accenture, Juniper Network, and Dell.
About the Role: Applications architect tracks applications, supervises their operations and progressions within the company. They also supervise how customers are interacting with the applications. An application architect should be very scrupulous about the applications they design and build. The applications should be replete with the app interface and infrastructure. The competition for the position of an application architect is high and only the highly skilled ones are selected.
Salary: 1,937,846 INR per annum
Skills Required:
Qualifications Preferred:
Top Recruiters: IBM India Pvt Ltd, IBM Global Services, and IBM Corp.
About the Role: Data architects are responsible for the creation of new database systems, leverage design analytics to make improvements in the interconnected data ecosystem within the company. The objective is to make data easily available and accessible for data scientists.
Salary: 1,946,737
Skills Required:
Qualifications Preferred:
Top Recruiters: IBM, Amazon, Atlassian, and Google.
About the Role: An infrastructure architect is responsible for the supervision of the company infrastructure to ensure that it supports new technological developments and improvements. They provide all the necessary developments of neo-technologies and implement them to an already existing infrastructure. An infrastructure architect leads a team, directs them, and reports them to the top management.
Salary: 18.1 lakhs per annum
Skills Required:
Qualifications Preferred:
Top Recruiters: HCL technologies, TCS, Capgemini, and Tech Mahindra,
About the Role: The role of a statistician is to hire, collect, analyze, and interpret data. This helps the decision-makers of a company as a decision on the proceedings heavily depends on the insights generated from the data. Additionally, a statistician also communicates findings of data relationships and trends to stakeholders, thereby contributing to the operational strategies of an organization.
Salary: 508,647 INR
Skills Required:
Qualifications Preferred:
Top Recruiters: Apple, UCLA, and Capital One
About the Role: A business intelligence analyst is responsible for the formulation of strategic plans for organizations, ensuring that the required information can be utilized and channelized properly. A BI is adept in using BI tools to drive innovation in a business periphery by keeping track of and analyzing the market trends.
Salary: 577,745 INR
Skills Required:
Qualifications Preferred:
Top Recruiters: Spherion, UDig, Atollo, and Slalom Consulting.
About the Role: An enterprise architect needs to formulate out-of-the-box strategies to drive innovation in the business sphere along with technological solutions. The one who is an enterprise architect constantly assists the organization in achieving business objectives by identifying the needs and designing system architecture for specific requirements.
Salary: 2,573,419 INR
Skills Required:
Qualifications Preferred:
Top Recruiters: HCL Technologies, TCS, Tech Mahindra Limited, and Capgemini.
Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp
_____________
Disclaimer: Analytics Insight does not provide financial advice or guidance. Also note that the cryptocurrencies mentioned/listed on the website could potentially be scams, i.e. designed to induce you to invest financial resources that may be lost forever and not be recoverable once investments are made. You are responsible for conducting your own research (DYOR) before making any investments. Read more here.
