Rising demand for data science in India
Data science is a discipline that extracts usable insights from data by combining domain knowledge, computing abilities, and maths and statistics knowledge. Numbers, text, images, video, audio, and other data are utilised to construct artificial intelligence (AI) systems that can perform tasks that would ordinarily need human intelligence.
Data science demand in India is growing day by day and many graduates in data science are beginning to form a revolution in this industry.
As a result, the industry produces insights that analysts and business users can employ to create meaningful commercial value.
What caused the data analytics boom?
Businesses are generating, storing, selling, and sharing more data than they have ever before. Everything a company does is driven by customer needs, and organisations need data to make informed decisions.
“In the past, data was obtained by individuals,” said Stephen Beyer, PhD, department chair of Purdue University Global’s School of Business and Information Technology. Machines do not sleep when people do. As a result, people who can handle and make sense of this massive amount of data are needed in nearly every aspect of life.”
Data analytics: the absolute essential in today’s business world
As technology’s influence in many areas grows, vast amounts of data are generated that might provide useful insights into the subject. This has resulted in a growth in the data sector over the previous ten years.
Data gathering, on the other hand, must be supported with data analysis in order to get decision-making insights. Data analytics aids firms and sectors in making sense of massive amounts of data in order to expand and thrive. Investing in data analytics solutions can mean the difference between a successful company now and one that fails in the future.
How has the demand for data science changed after COVID-19?
In just the first quarter of 2020, data science jobs and the need for data science have increased by 56%. One reason for this was an increase in the industry’s desire to utilise data that was already available. Increased demand is also due to the trustworthiness of data sources and the effectiveness of analysis. It’s also due to the widespread availability of technology.
Data science jobs in Bangalore are increasing day by day and so are the data science jobs in India. The below-mentioned points are a few of the reasons why data science demand in India is on the rise.
- Fierce competition
It is not necessary for your next data science employment to be located in your current city. You’ve been able to explore new pathways in data science and collaborate with multinationals outside of your geographic region thanks to remote working and virtual recruiting.
This naturally raises competitiveness, and you’re suddenly up against someone with more experience and expertise from a different place. This is especially true for newer employees who are exposed to more competition.
On the other hand, you can apply for employment outside of India and earn higher pay. The average compensation of Indian data scientists is far lower than that of American data scientists, but you may close the gap now.
- Easy to upskill
In a sector as dynamic and changing as data science, upskilling is a must. As more data scientists seek the same job post-pandemic, the demand for data scientists with diverse talents has skyrocketed.
Companies have additional options because of layoffs, and you’ll be competing with upskilled individuals who have obtained numerous certificates even before applying for the job. According to a LinkedIn poll, around 64% of employees have improved their skills as a result of the lockout.
And because firms no longer offer training programmes or in-person courses, the entire learning process is now on you. You won’t be able to adjust to the job as quickly or seamlessly if you work from home, but mastering those skills online will assist.
You should ideally enrol in a course to gather information, which you can subsequently apply to numerous settings.
Skills needed for data science need to be studied thoroughly by data science graduates, who look to establish a strong career in this field.
- Demand for contract-based hiring
Because firms are now depending on cost-cutting tactics, contract-based hiring has expanded post-covid. The number of freelancers hired has increased, as has the number of contract workers hired. Companies would be able to engage data scientists and analysts on a contract basis if they couldn’t afford to pay them well.
Data science demand in India constitutes contract-based hiring. The tendency is expected to continue until the economy picks up and the workflow improves. Contractual hiring is unquestionably advantageous to businesses. Unlike salaried employees, who must be paid even when there is a labour shortage, they only pay for what they use.
The trend has spread to positions in data science and analytics. Some companies may still consider these occupations to be secondary, and hence desire to save money by decreasing this department’s budget.
Benefits of a data science career
Data science job opportunities are plenty in number and so are the benefits of data science careers.
- The demand factor
The field of data science is extremely popular. With 11.5 million new jobs predicted to be generated by 2026, it is the fastest-growing job on Linkedin.
- Abundance of positions
Only a few people have all of the skills required to be a full-fledged Data Scientist. As a result, Data Science has a lower saturation rate than other IT disciplines.
- A highly paid career
One of the highest-paying careers is data science. According to Glassdoor, data scientists make an average of 10,00,000 a year in India. As a result, Data Science is a highly profitable career path. Not to mention, data science freelance jobs, which are on the rise post-COVID-19.
- Data science is versatile
Data Science has a wide range of applications. In the healthcare, banking, consulting, and e-commerce industries, it is widely used.
- Product factor
Machine Learning has helped the industry to build better goods tailored specifically for user experiences thanks to Data Science.
E-commerce websites, for example, use Recommendation Systems to present consumers with customised insights based on their previous purchases.
Scope of data science in India
In a developing country like India, there are plenty of places for data scientists, data analysts, big data engineers, big data managers, and data architects.
Becoming a data scientist has been a lucrative career option for the past several years. A variety of other factors, in addition to the growing relevance of data and the need to improve it, have driven the demand for data scientists in India.
With data being dubbed the “next oil” for businesses, analytics has evolved into a means of extracting useful information. The future scope of data science is being driven by the potent combination of both. Organisations all across the world are coming up with new methods to harness data and use it to advance their operations.
Why should you acquire data-driven decision-making skills?
Businesses can improve their performance by using data-driven decision-making to generate real-time insights and projections. They can then put various methods to the test and make well-informed company decisions for long-term growth.
There are a slew of reasons why using data to make decisions should be at the forefront of every modern company’s culture, and we’ll go through the most important ones.
- Organisational growth
The characteristics of data in decision-making are consistency and constant growth. Companies may zero in on crucial insights based on a variety of functions, processes, and departmental activities using data-driven decision-making.
One data decision after another, executed consistently, will enable you to establish actionable benchmarks that lead to continuous development and growth, which are critical components for long-term success in today’s cutthroat digital world.
- Innovation and knowledge
Companies are made or broken by data-driven business decisions. This demonstrates the value of online data visualisation for decision-making.
Companies that use a collaborative approach to decision-making are more likely to treat information as a valuable asset than companies that take other, more ambiguous approaches.
You’ll also build a culture of data-driven education – a commercial ecosystem where everyone uses the power of information to learn more while working to the best of their ability – if you see digital insights as a genuine advantage.
- New business opportunities
Data-driven decision-making results in the discovery of new and interesting business prospects. Drilling down into accessible visual data will provide you with a panoramic perspective of your company’s main activities, allowing you to make a series of sound decisions that will enhance your company’s commercial progress.
You’ll discover possibilities to increase your progress, make new professional contacts, and build ideas that will provide you a significant competitive advantage armed with the deep-dive insights that will improve your judgement.
- Better communication
Working with a data-driven decision-making approach will help you become a better leader, which will spread throughout the organisation.
Working with compelling KPIs and visualisations will improve communication across the board, whether you’re talking about data-driven finance, a data-driven sales strategy, or any other form of insight-driven endeavour.
Every one of your departments will acquire the capacity to easily exchange insights and collaborate on crucial plans as a result of operating as one unified data-driven unit, making you more intelligent (and profitable) as a company.
Last but not least, one of the most significant advantages of data-driven decision making is that it allows your company to be extremely adaptive.
You may build and evolve your empire over time by adopting digital data, making your company more versatile as a result. To keep up with the ever-changing scene around you, you must use data to make more educated and strong data-driven business decisions.
Data-driven decision-making tools can help you stay on top of developing trends and patterns that affect not only your internal operations but also the industry at large. If you can gain a deeper understanding of these trends or patterns, you’ll be able to make informed judgments that will keep you competitive, relevant, and lucrative at all times.
Data science opportunities – industry-wise
Data science is one of the most promising and in-demand occupations for qualified experts. A data science profession is both rewarding and lucrative, but it is not simple to break into the area. Working in data science does not necessitate a bachelor’s or master’s degree. What’s needed is the right set of skills and knowledge.
- Data analyst
Data analysts are responsible for a wide range of duties, including data visualisation, munging, and processing. They must also run queries against databases from time to time. Optimisation is one of a data analyst’s most significant talents. This is due to the fact that they must develop and modify algorithms that can be utilised to extract data from some of the world’s largest databases without causing data corruption.
- Data engineers
Data engineers create and test scalable Big Data ecosystems for businesses so that data scientists may run their algorithms on robust and well-optimised data platforms. To boost database performance, data engineers also update existing systems with newer or improved versions of current technologies.
- Data administrator
A database administrator’s job description is fairly self-explanatory: they are responsible for the proper operation of all of an enterprise’s databases and give or revoke services to corporate personnel based on their needs. They’re also in charge of database backups and restores.
Renowned companies recruiting for data scientists in 2022
Data scientists are in demand now and these are the top companies that hire data scientists.
- MAQ Software
- HCL Technologies
Data science demand in India isn’t going away anytime soon. However, the profession is changing, and corporations are beginning to search for people who can solve problems using data.
This does not only apply to model making. When presented with a business problem, developing a machine learning model isn’t always the best solution.
A simple SQL query or visualisation may be all you need to know in some cases. Using machine learning approaches to solve every data problem is costly and time-consuming, which is why you need to know more. As long as you continue to study and build data-driven solutions, there is no automated tool that can replace a data scientist’s skill set.
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Information related to companies and external organizations is based on secondary research or the opinion of individual authors and must not be interpreted as the official information shared by the concerned organization.
Additionally, information like fee, eligibility, scholarships, finance options etc. on offerings and programs listed on Online Manipal may change as per the discretion of respective universities so please refer to the respective program page for latest information. Any information provided in blogs is not binding and cannot be taken as final.
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