Complete Guide for Switching Your Career in Data Science

  • Introduction
  • Is Data Science a good career option?
  • Is data science a good career path to explore?
  • Is data science important?
  • Who would use data science?
  • How much does a data scientist in India earn per year?
  • What is the job outlook of data science?
  • Demand for data science professionals in India?
  • Future of data science jobs
  • Job growth in data science
  • Which are the data science industries you must consider?
  • How do I switch careers to a data scientist?
  • Where to look for a job in data science?
  • Where to find data  science jobs requirements?
  • What kind of data science organisations to look out for?
  • Data Science startups
  • Government Data Science Jobs
  • Takeaway


In the last decade, there has been an increase in data science jobs and many who want to get into this career path.

The COVID-19 pandemic caused millions of job losses and forced people to rethink how they’d transition through life.

For those considering a career switch to data science or data analytics, these tips can help pave an easy path.

We have included the best information that we could find in this ultimate guide for switching your career in Data Science, but we know there are lots of resources and information you might want to consider.

For you, is data science a good career option?

For much of the last decade, our digital footprint has continued to grow as more and more people make use of internet-connected devices. Much of this data is about you – your searches, your location history, your account information with social media sites. Increasingly during pandemic times, Data Science has been a sought-after career field at universities around the world.

The 2020 Dice report indicated an average 50% increase in demand for data scientists within the healthcare, telecommunications, media, and financial sectors. The pandemic crisis has strengthened the data science job market in 2021.

Source: Analytics India Mag

Is data science a good career path to explore?

Data science is a term that refers to a variety of different approaches and philosophies to the realm of collecting, analysing, and interpreting data. 

There are some who believe that data science is just a trend and the hype around it will eventually go away. But, nothing could be farther from reality.

The truth is, data science has only recently begun to gain traction as more and more organisations use data in an effort to outdo their competition.

Is data science important?

With the increasing requirement for data-driven decisions, no industry is exempt from this need. 

Whether you work in retail and e-commerce, logistics or transportation, healthcare, finance, insurance, or real estate- if your job relies on data-driven decision-making tools then you will need a strong team with technical skills to make use of your internal company data. 

If you’re curious about a rewarding career with an excellent impact on any business decision-making process, data science might be the perfect solution.

Who would use data science?

You and your employer.

Data professionals can be attracted by the prospect of entering an environment that welcomes their skills and expertise. After the data analysis and changes, you should measure the results. Every company would want to ensure its business success.

We want to help you be the kind of person every big data science company or fast-growing startup would love to hire for their team. So, how do you get into this field? 

One way people enter the ranks of data science is by leaping through the “Data Science Leviathan” door. This can be an intimidating prospect, but it’s not the only route to a future in data science.

What are the data science career opportunities that you should explore?

So to help sort things out, we have highlighted the top types of data science jobs – data scientist, data analyst, BI analyst, data architect, and data engineer.

What do data scientists do?

Everything related to data.

What sets apart the average data scientist from the top-tier data scientists are traits like creativity and curiosity, along with implementing analytical thinking when resolving new problems.

How much does a data scientist in India earn per year?

The national average salary for a Data Scientist in India is ₹10,00,000 per annum.

What is the job outlook of data science?

Data science is a dynamic field; as new technologies emerge, the skills required to keep up evolution in data science also evolve.

The question of whether or not you want to be a data scientist is an important one.

When deciding to make the switch to data science, it is crucial that you understand what the industry looks like from a wider perspective.

Data science is one of those skill sets where high demand meets low supply.

Demand for data science professionals in India

Data Scientist jobs are some of the most in-demand roles. Forbes predicted that the demand for data scientists is expected to grow at a fast pace. Data science and analytics hiring is accelerating. 

The data science sector has fewer openings than the general job market. For instance, the average number of vacancies lasts 45 days. This figure is 5 days longer than in any regular job market.

Future of data science jobs

The future of data scientists and data engineers is brighter than ever. Along with BI analysts and other data science, analytics, and system developer positions ― are the jobs most likely to suffer from supply shortages in the coming years.

Job growth in data science

It is expected to be significant. Analysts predict that by 2026, India will have more than 11 million job openings in Data Science. As of the end of August 2020, there were 93,000 jobs that remained vacant in Data Science in India.

Which are the data science industries you must consider?

Data Science is particularly sought after in industries such as finance, insurance and HCM.

Data science is also gaining traction in the telecommunications industry. It offers many opportunities for data scientists to develop new solutions.

In addition, the pharmaceutical sector is another important place you can find a job as a data scientist. In fact, the use of Big Data and data science in the pharmaceutical industry is expected to double in the next five years.

From the look of it, if you want to switch careers as a data scientist, you know what to focus on.

How do I switch careers to a Data Scientist?

If you are interested in switching careers into data science, you’re in good company. The demand for data scientists and data analysts is increasing, so there are many ways to switch your career into the field of data science. There are also some non-technical skills you should consider if you want to make the switch into this role.

Many of the aforementioned skills come in handy for you to become a data scientist, so if you want to get a job as one, they are exactly the ones you should focus on as well.

Where to look for a job in data science?

  • Kaggle Jobs
  • KDnuggets Jobs
  • Analytic Talent
  • GitHub Jobs
  • BigData Jobs

Where to find data science job requirements?

Keep in mind the industry in which you’ve been offered positions. Carefully investing your time researching the company’s focus can help you decide whether or not their job offer aligns with your career goals.

The job requirement for a data scientist can vary widely depending on the company. In every field, businesses work with different types of information to achieve specific goals. However, there are certain requirements that employers will most often search for in data scientists.

Knowing the basics of programming languages is a necessity no matter what field one works in. Though it’ll be especially useful for data scientists applying their skills with visualisation tools in any industry.

What kind of data science organisations to look out for?

When you browse data scientist job openings, it’s important to learn about the types of organisations hiring for that position. For instance, do you want a company that focuses on offering in-house solutions vs. working as a salaried contractor?

A few you should definitely consider when applying:

Data Science Consulting Companies

Data science consultancies offer these benefits: outstanding remuneration packages and development opportunities. You shouldn’t undersell yourself if you are headed in this career direction. On the contrary, start checking out data science firms to find which is the right one for you.

Data Science Startups

If you want a job that will challenge your creativity, working in an early-stage startup might be right for you. Unlike large companies which require years of repetition to advance in the ranks, data scientist jobs at startups give employees the chance to explore skills within a shorter timeframe while adapting to challenges independently. In addition, these types of careers afford more opportunities.

Government Data Science Jobs

The best way to secure a data science position in the government is by getting an entry-level IT or computer science job. 

GovtJobsPortal – You may find it challenging to find a government data science job in India, but there are plenty of IT and computer science positions that make for great entrance into future openings.


Keep in mind that anything worthwhile takes time and hard work. So, continue to learn new skills such as data science, and do not be afraid to experiment to see what works best for you. Opportunities will show up without you having found the perfect job just yet.

Through our comprehensive guide, we aim to shed light on all the aspects that come with attempting a career in data science. We hope it helps broaden your perspective. Moreover, we are optimistic that it will assist you not only in understanding how to be a data scientist but also in choosing the best career path to enter the data science field.

Our final piece of advice- learn with curiosity and optimism. Don’t be afraid to make mistakes or ask what you don’t know in order to improve next time.

Do share your journey of switching from a different industry to a career in Data Science. We’d love to hear from you!