Introduction 

Your data science career starts with choosing the right company. India has become center stage for data professionals, with companies fighting to hire the best talent. Data science salaries have seen significant growth, with some experience levels seeing increases of over 50% in recent years, and the benefits keep getting better. What makes a company worth joining? Look beyond the big names. Sure, Google and Amazon sound impressive. But smaller firms often give you more freedom to experiment and fail. You learn faster when you own entire projects, not just small pieces. The best data science companies teach you skills that matter. They invest in your growth through training programs and mentorship.

In this blog, we will explore some of the top companies in India that are shaping the future of data science through groundbreaking solutions, global reach, and high-impact projects.

Before getting into more details, let us first look at the average salary that data science companies in India are offering.

Average Salary for top data science companies in India

Below, we have discussed the average salaries for data science professionals in some of the best data science companies in India.

Company	Headquarters	Average Data Science Salary (LPA)
Fractal	Mumbai, India & New York, USA	₹16 LPA
LatentView Analytics	Chennai, Tamil Nadu	₹15.5 LPA
TCS	Mumbai, Maharashtra	₹10 LPA
Infosys	Bengaluru, Karnataka	₹10 LPA
Wipro	Bengaluru, Karnataka	₹9.5 LPA
Mu Sigma	Bengaluru, Karnataka	₹10 LPA
IBM	Armonk, New York, USA	₹12.5 LPA
Flipkart	Bengaluru, Karnataka	₹15.5 LPA
Genpact	New York, USA	₹12.5 LPA
Accenture	Bengaluru, Karnataka	₹13 LPA

Note: The salaries mentioned below are average annual packages (LPA – Lakhs Per Annum) based on data available as of May 2025. Actual figures may vary depending on experience, location, and role.

Let us now move on to our main section where we will discuss about the top data science companies which are making waves in India’s data science ecosystem.

Top 10 Data Science Companies in India

Top data science companies in India include Fractal, LatentView Analytics, TCS, Infosys, Wipro, Mu Sigma, IBM, Flipkart, Genpact, and Accenture.

1. Fractal – India’s First AI Unicorn

• Headquarters: Mumbai, India & New York, USA

• Founded: 2000

• Employees: 6,000 (as of May 2025)

• Average Salary Per Annum: 18 LPA

• Overview: Fractal, a company headquartered in Mumbai and New York, was formed in 2000 by five students of the Indian Institute of Management, Ahmedabad. It recently achieved a valuation of over $1 billion and hence got into the unicorn club in 2022, which made it India’s first AI unicorn.

• Website: https://fractal.ai/new

2. LatentView Analytics – The Decision Science Expert

• Headquarters: Chennai, Tamil Nadu

• Founded: 2006

• Employees: 1,500 (as of May 2025)

• Average Salary Per Annum: 20 LPA

• Overview: LatentView works to help businesses use data to make decisions and understand digital trends. Venkat Viswanathan started the company, and it allows companies to gain insights to drive global changes and digital progress.

• Website: https://www.latentview.com/

3. TCS – The IT Behemoth with Deep Data Expertise

• Headquarters: Mumbai, Maharashtra

• Founded: 1968

• Employees: Over 600,000 (as of May 2025)

• Average Salary Per Annum: 10 LPA

• Overview: TCS, a Tata Group enterprise, is a global IT services, consulting, and business solutions organization. One of India’s leading data science companies, TCS, uses advanced analytics and AI to deliver contextual business insights.

• Website: https://www.tcs.com/

4. Infosys – Where Data Meets Digital Transformation

• Headquarters: Bengaluru, Karnataka

• Founded: 1981

• Employees: Over 335,000 (as of May 2025)

• Average Salary Per Annum: 10 LPA

• Overview: Infosys is a global leader in digital services and consulting. Their deep industry expertise, including next-gen technology, business operation transformation, and maintaining competitiveness in the digital-first world, continues to exceed their global clients’ demands.

• Website: https://www.infosys.com

5. Wipro – Analytics for Smarter Business Moves

• Headquarters: Bengaluru, Karnataka

• Founded: 1945

• Employees: Over 240,000 (as of May 2025)

• Average Salary Per Annum: 9.5 LPA

• Overview: Wipro is a successful Indian data science company that provides high-level IT services, consultancy, and business solutions. Wipro is a powerful and reliable performer in cloud analytics and AI and possesses the capability to leverage data to make smart decisions across the globe.

• Website: https://www.wipro.com

6. Mu Sigma – The Decision Sciences Pioneer

• Headquarters: Chicago, USA & Bengaluru, Karnataka

• Founded: 2004

• Employees: Approximately 3,500 (as of May 2025)

• Average Salary Per Annum: 10 LPA

• Overview: Mu Sigma is a data analytics firm that was established in Chicago but has started to make a big footprint in Bengaluru. Everyone is talking about their analytics solutions in the fields of technology, healthcare, trade, and finance.

• Website: https://www.mu-sigma.com

7. IBM – The AI & Cloud Powerhouse

• Headquarters: Armonk, New York, USA

• Founded: 1911

• Employees: Over 320,000 (as of May 2025)

• Average Salary Per Annum: 12.5 LPA

• Overview: IBM (International Business Machines Corporation) is a giant in both technology and consulting fields worldwide and a surefire leader in the data technology realm. IBM, being present in India with a strong network, is in a position to offer the most up-to-date technologies of data analytics, AI, and cloud that are required across healthcare, financial, manufacturing, and retail industries.

• Website: https://www.ibm.com

8. Flipkart – Data Science Behind India’s E-Commerce Giant

• Headquarters: Bengaluru, Karnataka, India

• Founded: 2007

• Employees: Over 30,000 (as of May 2025)

• Average Salary Per Annum: 15.5 LPA

• Overview: Flipkart is among the top e-commerce companies in India and a powerhouse of data science companies in India. The company operates with data science as its core strategy to focus on customer experience, manage the supply chain efficiently, be proactive in fraud protection, and make AI-driven decisions.

• Website: https://www.flipkart.com

9. Genpact – Digital Transformation Through Data

• Headquarters: New York, USA

• Founded: 1997

• Employees: Over 130,000 (as of May 2025)

• Average Salary Per Annum: 12.5 LPA

• Overview: Genpact is a global professional services firm and ranks number one among data science companies, enabling digital transformation and thus redefining customer value across banking, insurance, healthcare, retail, manufacturing, and other verticals.

• Website: https://www.genpact.com

10. Accenture – Where Data Meets Global Scale

• Headquarters: Bengaluru, Karnataka, India

• Founded: 1989

• Employees: 630,000 (as of May 2025)

• Average Salary Per Annum: 13 LPA

• Overview: Accenture is a global professional services provider in IT consulting, digital transformation, and data analysis. It has large offices in Bengaluru, Pune, and Hyderabad in India. It ranks as one of the best places to work in India’s tech industry, earning the second spot on LinkedIn’s 2025 Top Companies list.

• Website: accenture.com/

We have discussed some of the best data science companies in India. Let us now discuss some of the top global data science companies.

Leading Global Data Science Companies Powering the World

While data science companies in India are rising fast, some global giants are pushing the boundaries of AI and analytics. Some of the best data science companies are:

1. Microsoft

• Headquarters: Redmond, Washington, USA

• Key Contribution: Microsoft leads in advancing AI by blending cutting-edge data science tools into its Azure cloud services. Its collaboration with OpenAI and funding in large language models (LLMs) places it at the top of global players using data science.

• Notable Move: In 2023, Microsoft introduced AI copilots and tools aimed to make deploying machine learning on a large scale easier for developers.

2. Databricks

• Headquarters: San Francisco, California, USA

• Key Contribution: People use it because of its Delta Lake and Lakehouse architecture. Over 9,000 organizations rely on these features.

• Notable Clients: Toyota, Warner Bros Discovery, Mercedes-Benz, Siemens

3. Snowflake

• Headquarters: Bozeman, Montana

• Key Contribution: Businesses use it to analyze data across different platforms. It now includes AI features and supports large language models.

• Latest Numbers: Hit $1 billion in quarterly earnings during Q1 2025, marking a 26% year-over-year rise.

4. NVIDIA

• Headquarters: Santa Clara, California, United States.

• Major Role: NVIDIA is not just a hardware giant—it plays a massive part in AI infrastructure. Most modern AI and data science models around the world rely on their GPUs to train.

• Projects: AI Enterprise, NVIDIA Omniverse, and collaborations with major cloud services like AWS and Azure.

5. OpenAI

• Headquarters: San Francisco, California, USA

• Key Contribution: OpenAI changed how we think about AI by creating ChatGPT and GPT models that understand and write like humans. They turned complex AI research into tools that millions use daily for writing, coding, and problem-solving.

• Notable Move: In late 2022, OpenAI released ChatGPT to the public, reaching 100 million users in just two months. This made AI accessible to everyone, not just tech experts.

6. Informatica

• Location: Redwood City, USA.

• Key Contribution: Informatica leads in cloud data management and integration. It makes it easier to govern data and set up pipelines, which play a key role in any data science setup.

• Recent Update: Salesforce bought Informatica in a major $8 billion deal. This deal helps Salesforce build a stronger base for AI and data systems.

Frequently Asked Questions

Q1. What are the top Indian data science companies to work for in 2025?

Fractal, TCS, Infosys, Wipro, and LatentView analytics are top choices.

Q2. Are global data science companies hiring in India?

Yes, firms like IBM, Microsoft, Amazon, and Databricks actively hire in India.

Q3. Which industries use data science the most in India?

Finance, e-commerce, healthcare, and retail are top users of data science.

Q4. Which skills help you get hired in data science roles?

Python, SQL, machine learning, and data visualization are essential.

Q5. Is data science highest paid?

Yes, data science is considered one of the most high-paying fields. Salary may vary depending on location, experience, and company.

Conclusion

India’s data science landscape offers endless opportunities for aspiring beginners as well as professionals. The top 10 data science companies in India that we have discussed in this blog represent just the beginning. New firms pop up monthly, hungry for talent. Old companies transform themselves through data teams. Your timing couldn’t have been better. Not only India but global data science companies such as Microsoft, NVIDIA, Databricks, OpenAI, Informatica, and Snowflake are also creating even more opportunities in terms of salary and career advancements.

For those looking to break into this exciting field, enrolling in a data science course with placement guarantee can be a smart first step toward a rewarding career.

Joining the best data science company or working with one lets you learn and grow.