Data Science Scope in India (2024)

 

Data Science Scope in India (2024)


Data science is an emerging field in India with huge potential and opportunities for growth. As more companies make decisions on data, the demand for data scientists will increase exponentially in the coming years. This blog discusses the scope of data science in various industries, required skills, job roles, salary trends, and future prospects in India.

In 2017, the Economist made headlines stating, “The world’s most valuable resource is no longer oil, but data.” Now, this analogy may seem to be a little odd in the first place, but if we dive deeper, just like oil was a valuable asset for organizations years ago, it has now been replaced by data. As the business world inches closer to digitalization, data has become more important than ever.

Scope of Data Science in India

With data being termed as the future oil for organizations, analytics have become an engine that drives it to arrive at meaningful insights. The powerful combination of both is what is driving the future scope of data science. All across the globe, organizations are innovating multiple methods to harness data and use this powerful tool to drive their businesses.

The confluence of massive data influx and the need to harness this huge amount of data has together built a big job market in data science. Termed as “one of the sexiest jobs in 2021” by the Harvard Business Review, data science has introduced a whole new array of jobs to the market. Especially in a developing country like India, there is scope for huge data-related operations such as data scientists, data analytics, big data engineers, big data managers, and data architects.


Demand for data scientists in India

A data scientist has been a lucrative career option for the last few years. Apart from the increasing significance of data and the need to refine it, there are several other factors that have increased the demand for data scientists in India.

Some of the factors are discussed below:

Covid-19 Pandemic:

As the spread of Covid-19 spread across India, most of the processes started happening online. With everything taking place online, there was a huge amount of data generated through these processes, which accelerated the growth of data scientists in India.

The recent surges in e-commerce platforms, online transactions, and more students opting for online courses have contributed to the need to analyze massive data chunks for a comprehensive understanding. This, in turn, has amplified the future scope of data science in India.


Low entry barrier:

Being a comparatively new field, the professionals in this domain experience less competition. Professionals from different backgrounds, such as mathematics or statistics, computer science, engineering, and natural science, can also pursue a career in data science. All it takes to become a successful data scientist is a problem-solving approach and good programming skills, which you can learn along the way.

So, if you have a knack for solving problems, complement it with the data science course from Intellipaat and begin your journey in this promising career option.

Good salary:

Let us accept that most of us crave the combination of a good job profile and a decent salary. Data science jobs are among the top-paying jobs in the market right now. The average salary of a data scientist ranges between INR600,000–700,000 for freshers as well. This helps data science is gaining traction from a lot of professionals.

How to get a job in data science in India

Before jumping into how to get a data science job in India, let us first know about the skills required to become a data scientist. Here are some of the essential data science skills:

  • Skilled in Python, R, and SAS
  • Good with statistics and mathematics
  • Comprehensive knowledge of algorithms such as logistic regression and linear regression
  • Good communication skills
  • Good with business knowledge
  • Proficiency in Excel

Even freshers can land good job offers if they showcase a good body of work including awell-made portfolio. This includes a well-written resume containing all relevant skills and qualifications and details of past projects if any.

Below are a few quick tips on how to make a resume for a data science job role:

Tips to make a resume for a data science job

Make a resume that curves out from the competition. Having knowledge is good but having a certificate in the same domain acts complimentary to your skillset.

As a fresher or someone just starting out in this field, try to get a data science internship, even if it is unpaid. The goal of an internship is to get hands-on experience on related projects.

You can also put the relevant GitHub link on LinkedIn. Moreover, participating in various online competitions will also help in gaining exposure to the field. All these efforts combined will showcase your learning and understanding of the technology and employers might take notice of it.

To build your network in the professional world, participate in local data science meetups that regularly take place in big cities such as New Delhi, Pune, Bengaluru, Chennai, and others. Having a wider network of people from the same or similar domain will help you to reach out to employers quickly.

How to get a job as a Data Scientist

Learn Mathematics

Having a good hold of computational skills can help you to stand out from the crowd. Knowing algebra and calculus is an added advantage as it is utilized in ML and deep learning. Having a good knowledge of statistics and probability is another advantage as they can be useful in analyzing and visualizing data to derive insights.

Know basics

Having a clear understanding of data science involves building and deploying machine learning models. There are some institutions that provide hands-on training for free.

Learn programming

Learning programming languages, such as SAS, Python, JavaScript, Hadoop, and R, that are used extensively in data science will help you to have an edge over others as with the knowledge of the programming languages, you would be able to easily accomplish your tasks by using a few lines of code.


Explore the domain

As a passionate data science enthusiast, you need to participate in various online competitions and guided hackathons to learn the art of turning raw data into meaningful insights. Publishing work on GitHub under guided supervision gains a lot of traction from top data science companies.


Salary of Data Scientists in India

Below are the names of top Indian companies along with the typical base pay that they offer:

TCS: INR652,075/yr
Mahindra: INR873,057/yr
IBM: INR1,067,758/yr
Infosys: INR837,251/yr
Capgemini India Pvt Ltd: INR950,000/yr

Note: All salaries mentioned above are as per Glassdoor data


Salary offered as per location:

Generally, the salaries that top data scientist companies in India pay, depend on two factors, the demand for the relative skill set and the cost of living in the city. Based on these two factors, we have listed a few Indian cities in descending order of the salaries offered by them. Here are the top five best-paying cities in India.

Mumbai: Known to be one of the most expensive cities in India, Mumbai usually offers a little higher salary than the industry average. In 2019, Mumbai has the highest paymaster in analytics at almost INR13.7 lakh per annum.


Bengaluru: Popularly known as the Silicon Valley of India, Bengaluru is another expensive city to live in. Followed by Mumbai, Bengaluru hands out INR13 lakh per annum to data scientists. In the salary bracket of more than INR15 Lakh per annum, Bengaluru leads after Mumbai with 26 percent of professionals earning in this salary bracket. In 2018, this percentage was 24 percent and in 2017, it was 25 percent. Bengaluru was the second highest after Mumbai even then.

Chennai: One of the most populated cities in India, Chennai dominates as the lowest paymaster offering INR10.7 lakh per annum. In the salary bracket of INR0–6 lakh, Chennai has 40 percent of analytics professionals earning below INR six lakhs.

Hyderabad: Hyderabad follows Chennai with the highest annual increase in median salary for analytics professionals at almost five percent, from INR10.2 lakh in 2018 to INR10.7 lakh in 2019. Hyderabad saw an annual increase in salaries at 4.1 percent.


Pune: Among all the metropolitan cities, Pune recorded the highest increase in analytics salaries this year by almost 30 percent, from INR8.8 lakh to INR 11.4 lakh.

The average cost of living in the city:

MumbaiBengaluruChennaiHyderabadPune
Cost of accommodation (1 BHK)25,000–30,0008,000–12,0004,000–8,0004,900–5,0008,000–12,000
One-time meal in average restaurant1,000–1,500500–1,000200–400200–500300–500
Utilities3,8002,000–3,0001,200–2,5001,200–2,5001,200–2,500
Monthly transportation pass5001,0001,000–1,6001,000–2,0001,000

To wrap it up, after conducting extensive research and inferring the above-mentioned data, it is safe to say that data science is the technology of the future. As companies become more dependent on data-driven decisions, the demand for data scientists and relevant career prospects is likely to grow in the future.



Cpmpiled : Pushpendra Maurya


Comments

Post a Comment

Popular posts from this blog

THE FUTURE OF AI IN EVERYDAY LIFE

Image
  Artificial Intelligence (AI) Has emerged as a transformative force across diverse sectors, revolutionizing everything from healthcare to entertainment and education to transportation. Its profound influence extends deeply into our daily routines, becoming an indispensable component of modern life. This article delves into the significance of AI in our everyday experiences, exploring its impact on individuals and societies, and elucidating the myriad advantages it offers. Artificial Intelligence is becoming indispensable in the realm of cybersecurity Serving as a vigilant guardian against cyber threats. Through advanced machine learning algorithms, AI swiftly detects anomalies within network traffic, effectively thwarting potential attacks in real-time. Beyond traditional defenses, AI extends its reach to monitor social media platforms, adeptly spotting fake news and fortifying against phishing attempts. Its multifaceted capabilities are reshaping the landscape of cybersecurity, usher
Read more

Understanding The Difference Between AI, ML, And DL

Image
  I debated whether to write this piece for a long time. This was due to several factors. At a recent AI conference, I was asked to define Artificial Intelligence. I was initially taken aback as I would never expect someone attending an AI conference to ask what the meaning of AI is.   However, after digesting his question and trying to formulate a clear answer, I realised the meaning of AI had not been clearly communicated by the community. After several conversations with various people, I realised that he wasn’t the only person who did not understand Artificial Intelligence (AI) and its bedfellows, Machine Learning (ML) and Deep Learning (DL). I have even conducted a survey by asking 10 friends from various backgrounds if they knew the meaning and difference of these terms. My survey yielded ten distinct responses. In addition, I have realised that these terms are frequently used interchangeably in social media when, in fact, they are all very different things. WHAT DO THE TERMS AI,
Read more

The Impact of AI on the Education System: A Paradigm Shift

Image
In the age of rapid technological advancement, Artificial Intelligence (AI) stands as a transformative force, reshaping various aspects of our lives. One domain where its impact is particularly profound is the education sector. The integration of AI into education holds the promise of revolutionizing traditional teaching and learning methods, offering personalized experiences, enhancing accessibility, and preparing students for the demands of the 21st century.   Personalized Learning: One of the most significant contributions of AI to education is its ability to personalize learning experiences. Through sophisticated algorithms and data analytics, AI can assess students' strengths, weaknesses, and learning styles, allowing educators to tailor instruction accordingly. Adaptive learning platforms powered by AI can dynamically adjust the pace, content, and difficulty level of lessons to match each student's needs, fostering a more effective and engaging learning environment. Enhan
Read more