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Outstanding Data Science Firms in Indian Cities to Work as Fresher!

Outstanding data science firms in Indian cities to work as fresher

A career in data science is gratifying and has seen fast growth. Did you know? Currently, data science is being leveraged by several top companies in India that are continuously looking for professionals and experts in this field.  Moreover, the advancements in data science and business analytics have been increasing rapidly- Data science roles to see over one lakh job openings this year which is an increase of about 62% from last year, according to a report prepared by an edtech firm for fresh graduates.

However, there are plenty of competitive analytical companies in India that have shown tremendous growth globally across multiple industries. Based on our research, we have compiled an indicative list of Outstanding data science companies in Indian Cities which are favorable for fresh graduates to begin their career with.

The following best companies in India can be the dream company for any data scientist in India to work for.

Outstanding Data Science Firms in Indian Cities to Work as a Fresher!

Let me quickly skim you through the list of Outstanding Data Science Firms in Indian cities to work as Fresher in 2020.

To know more about the companies which have mentioned in the list you can go through by yourself and then check the website’s pages although I will try to mention the list with accurate details.

  • Amazon
  • LinkedIn
  • IBM Corp
  • Accenture
  • Flipkart
  • American Express

Amazon, among the Top Data Science Firm in Indian Cities to Work as a Fresher

Industry: Internet

Offices: Bangalore, Chennai, Delhi, Hyderabad, and Mumbai

Amazon is the most customer-centric company on earth. They strive to have a positive impact on customers, employees, small businesses, the economy, and communities.

Amazonians are smart, passionate builders with different backgrounds and goals, who share a common desire to always be learning and inventing on behalf of their customers.

As a data scientist at Amazon, you need to be a self-driven leader with extensive experience in applying statistics and data science concepts to bring tangible benefits for global finance operations.

| Protip: Being part of Amazon Finance Automation gives you the opportunity to work in a rapidly growing organization with many high performing global technology teams. 

The average salary for a data scientist in Amazon is INR 19.8 lakhs in India

Related: Data Science Jobs after doing a Course in Data Science

LinkedIn, among the Top Data Science Firm in Indian Cities to Work as a Fresher

Industry: Internet

Linkedin offices in Indian cities: Bengaluru, Mumbai, Gurugram, Chennai

Linkedin is the world’s largest professional network with nearly 660+ million users in more than 200 countries and territories worldwide. Their vision is to create economic opportunity for every member of the global workforce.

As a data scientist at LinkedIn, you leverage big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. 

|Protip: Being part of the Linkedin data science team, you focus on International Products that create values for LinkedIn’s global member base in over 200 countries. 

The average salary for a data scientist in Linkedin is INR  21,92,880 in India

IBM Corp, among the Top Data Science Firm in Indian Cities to Work as a Fresher

Industry: Cloud computing, Artificial intelligence, Computer hardware, Computer software

IBM offices in Indian cities: Bengaluru, Ahmedabad, Delhi, Kolkata, Mumbai, Chennai, Pune, Gurgaon, Noida, Bhubaneshwar, Coimbatore, Visakhapatnam, and Hyderabad.

IBM Services is a team of business, strategy and technology consultants that design, build, and run foundational systems and services that is the backbone of the world’s economy.

As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development.

|Protip: Being a Part of the IBM Data Science team, you will be challenged and inspired every single day and there’s no limit to what you can accomplish at IBM.

The average salary for a data scientist in IBM is INR 12,16,691 in India

Related: Data Science Scope in India for Aspiring Professionals

Accenture, among the Top Data Science Firm in Indian Cities to Work as a Fresher

Industry: Professional services

Accenture Office in Indian Cities: Mumbai, Gurgaon, Bengaluru, Hyderabad, Kolkata, New Delhi, Noida, and Pune, Chennai.

Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations.

As a data analyst in Accenture, you shape the clients’ future, combine deep business insight with the understanding of how technology will impact industry and business models.

|Protip: As a part of the Data Science team in Accenture, you recognize and understand the impact of digital and technology.

The average salary for data analytics jobs in India at Accenture is ₹605Kper year.

Flipkart, among the Top Data Science Tech companies in Indian Cities to work as a Fresher

Industry: Internet

Flipkart office in Indian cities: Ongole, Bengaluru, Chennai

Flipkart is India’s largest online marketplace and the most used e-commerce app in India.

Being in a Data Sciences team at Flipkart is on a mission to build systemic intelligence across Flipkart products and the overarching ecosystem.

|Protip: If you aspire to redefine ‘state-of-the-art’ and create an impact on India’s shopping landscape, Flipkart Data Science Organization offers the podium to solve challenging real-world problems and take a giant leap in your career as a Data Scientist.

The average salary for a Data analytics Job this year in Flipkart is INR 5.2 lakhs in India.

Related: How to Start your Career in Data Science?

American Express/Amex, among the Top Tech Companies to Work as Data Scientists in Indian Cities as a Fresher

Industry: Banking, Financial Services

American Express office location in Indian Cities: Chennai, Bengaluru

American Express is a global services company that provides consumers and businesses with exceptional access to products, insights, and experiences that enrich lives and build business success.

As a data scientist in American Express,  you drive the development of technology solutions for robotics process automation and smart process automation specifically in the area of advanced & standard accounting, machine learning, data science, chatbots, and workflow orchestration.

|Protip: Being in a part of the data science team at American Express, you get the opportunity to develop next-generation technologies in AI/ ML to help users to connect, explore & interact with information of the enterprise.

American Express average salary in India for a  data scientist is ₹545,352 per year

However, the Salary packages of data scientists depend on their qualifications, job roles, job profiles, and years of experience. The annual package of a fresher usually lies between 6 lakh to 8 lakh per annum (as per Payscale.com).

Final words

Research shows that 94 percent of data science graduates have gotten jobs in the field since 2011.

Perhaps, according to the United States of Labor Statistics, the employment of all computer and information research scientists is expected to rise 19 percent by the year 2026, which is deemed much faster than the average for all professions. About 5,400 new jobs are projected over the decade.

If you think, the skills limit you to get hired by those top data science firms in India.

You can learn data science courses from Zuan Education and it will be the best place for you to learn basic to advanced levels.

Explore: What Skills Do You Need to Develop to Become a Data Scientist?

Here, you will learn in-demand data scientist skills from an expert trainer and grow your knowledge with live project sessions.

So in a nutshell, becoming a successful data scientist is by no means accomplished overnight. What you need to do is lay the technical foundation, strengthen the core skills, and keep learning for more challenges.

I hope you have found this article useful. Do share your thoughts below in the comments section now!


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