Introduction
Artificial Intelligence and Machine Learning are the hottest jobs in the industry right now. 2018 has seen an even bigger leap in interest in these fields and it is expected to grow exponentially in the next five years! For instance, did you know that more than 50,000 positions related to Data and Analytics are currently vacant in India?
We are excited to release a comprehensive report together with Great Learning on how AI, ML and Big Data are changing and evolving the world around us. Additionally, this report aims to provide an overview of the kind of career opportunities available in these fields right now, and the different roles we might see in the future.
Download it right now here!
The aim behind creating this report is to provide our Data Science community with the context of changes happening at a macro level, and how they can best prepare for these upcoming changes. So, if you are already a Data Science professional or want to get into Data Science, we expect this report to be useful in providing you a context and preparing you for the future. – Kunal Jain, Founder and CEO, Analytics Vidhya
What does the report cover?
Wondering what’s in the report and if you should download it? Check out what all is included below:
- Transformation and change centered around Data
- Data Science & today’s disruption
- Big companies, Big investments, Big Data
- Roles in Data Science
- Data Science – where are the jobs?
- Upskilling – the way forward
- Analytics & Data Science industry – and its upcoming domains
- Hot skills using the power of Data
- Expert views
- The road ahead
There are a whole host of amazing statistics and insights in the report that will blow your mind. For example – there are over 10 lakh registered companies in India. A survey by Gartner shows that around 75% of these companies are either already investing or are planning to invest in the field of Big Data.
Highlights from the Report
Let’s go through some of the most intriguing patterns and insights from this report.
Industry-wise Comparison
An oft-asked question I’ve seen is – which industries have the most job opportunities? Here’s your answer:
Data science isn’t confined to one narrow field. Its reach spans across domains and applications. The banking and finance sector is clearly the biggest market for data science professionals. 44% of all jobs were created in this domain in 2017. Yes, 44%! E-commerce and healthcare have also emerged as promising areas for data science professionals.
The Hottest Tools and Languages in the Industry
Python or R? Ah, that question again. But now we have a concrete answer! The below graph, using the job postings from Indeed.com, shows a neat analysis of the data science skills in demand these days:
The most number of jobs listed contain SQL as a requirement. But Python has truly become a universally popular tool and is eating up that ground with incredible speed. These languages are followed by Java, Hadoop (especially for data engineers, a very necessary role), and R. SAS is a bit further behind Tableau round-up our top 10.
This gives you a really good idea of what the industry demand is in today’s market. It might be time to buckle up and upskill your existing skillset!
What’s in store by 2020?
What’s in store for all the aspiring data scientists, engineers, and analysts? The below chart depicts the expected number of jobs by 2020 in various industries:
Data science jobs in healthcare are expected to soar. Agriculture, transportation and aviation are also expected to integrate a lot of data science tasks soon (the transformation is well under way). Cyber security, lagging a touch behind at the moment, should see significant investment. It’s a field ripe for data science and we expect to see professionals moving in that direction in the next couple of years.
There is a whole lot more in this report. We have an entire section dedicated to understanding the different roles in data science, their expected skills, etc. So what are you waiting for? Get your hands on the report right now!
Senior Editor at Analytics Vidhya.
Data visualization practitioner who loves reading and delving deeper into the data science and machine learning arts. Always looking for new ways to improve processes using ML and AI.
