Data science companies are organisations that help in organizing and analysing large amounts of data generated from businesses online. The field of data science is gaining a lot more attention since more and more companies have started pushing their visibility online. The consumption of data has increased, and hence it has encouraged multiple big data science companies to come and extend their hands in advanced projects.
Here, in this article, we will explore the top data science companies working on cutting-edge technologies and groundbreaking techniques to provide useful insights and help companies in data-driven decision-making.
25 Data Science Companies for Data Scientists In 2025
Let us check some of the major data science companies hiring for the role of data scientist in 2025 below.
1. Google
Google is among the top data science companies globally, powering powerful applications like YouTube, Google Drive, Google Chrome, and many other digital assets online. Google leads in advanced technologies like data science, AI, big data, and more, making it one of the best employers in the field of data science.
2. Microsoft
Microsoft provides opportunities for career growth in data science as it uses Azure cloud services and big search engines to analyze data and leverage data science to conduct fraud detection, business intelligence, and more.
It also powers up the AI assistant Copilot to provide data science-based education. Microsoft powers up Cloud, Azure, 365 pilot, and plenty of data-based optimization at some level, and hence offers a great opportunity for data science professionals.
3. Walmart Global Tech
Walmart Global is one of the most popular data science companies, powering one of the largest retail chains in the world. They leverage data science and techniques to handle supply chain optimization, personalization, and efficiency in logistics.
They offer future-ready digital transformation with all major future aspects in development, AI agents, a developer role, and more. The best part of Walmart Global Tech is the exceptional learning and support programmes, making it a popular choice for continuous upskilling in data science.
Read More: IBM Data Science Professional Certificate
4. Amazon
Amazon is one of the popular e-commerce platforms and also a top contributor to AI and ML-based reforms. They contain an extensive scope of data-based research, development, and job opportunities with services on Amazon Prime, Amazon Music, AWS Cloud, and plenty more.
Amazon also uses data science for recommendations on products, forecasting, and personalised marketing. It is also working on developing AI tools for fraud prevention, optimisation, and more.
5. IBM
IBM is popular for its contribution to digital development with leading technology and computing. IBM offers advanced open source projects, programs, and certifications for upskilling in advanced data science, AI, and ML-based technologies.
IBM leverages Big Blue projects to leverage data science and offers data science services like Watson Studio for data analysis and AI model building.
6. Mu Sigma
This company is a leading American data analytics firm known for providing data services, helping companies make decisions leveraging data. This firm was founded in 2004 and focuses on the art of problem-solving using innovative and smart solutions.
It offers decision-making services to various companies and uses data analytics models through Mu Sigma labs to provide solutions to clients. They also help companies analyse the data insights and convert them into actionable insights.
7. Fractal Analytics
Fractal Analytics is an AI and analytics company working towards building smarter decisions by using AI and data-driven insights. Fractal Analytics was founded in 2000, providing services in a number of sectors, including healthcare, insurance, finance, and other decision-making processes.
This company has also partnered with OpenAI and is preparing for an Initial Public Offering (IPO). They are taking steps to develop AI-based decision-making using the Asper.AI model. They are also developing tools like Crux, Eugene.ai, and plenty of other advanced tools.
8. Commonwealth Bank
Commonwealth Bank is Australia’s largest bank, readily investing in AI/ML fraud detection, risk management, and personalised banking services. At Commonwealth Bank, customers build, invest, and safeguard their future, along with good learning and support, productivity, and value for skills.
They are a pioneer in providing healthcare, wellness, and work-life balance. They are constantly encouraging innovations and advancements in digital consumption and productivity.
9. Accenture
Accenture is a global organization providing a range of services worldwide. They are among the top employers for data science jobs in India, offering a range of services including consultation services, digital services, technological assistance, operations, and much more. The company was founded in 1989 with over 700,000 employees worldwide and operates in over 120 countries.
They are constantly working on AI- and ML-based solutions to boost data optimisation. They also provide real-time analysis with data from various clients based on their preferences.
Read More: What is Artificial Intelligence Optimization (AIO)?
10. Tredence
Tredence is a data science and AI consulting firm popular for its strong impact in a range of retail, manufacturing, and healthcare services. This company follows a tagline named the “Last Mile AI,” which focuses on bridging the gap between data insights and actual business value delivery in the current market.
They develop AI-powered forecasting and price optimization, and perform data analytics with a major focus on AI-based adoption, helping clients move from data insights into actionable business value.
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11. Tiger Analytics
Tiger Analytics is a boutique advanced analytics and AI solutions provider currently collaborating with over 1000 clients across industries like telecom, banking, CPG, and healthcare. It ranks among the top analytics employers in India and globally.
Tiger Analytics focuses on building predictive models for demand forecasting, risk assessment, customer analytics, and more. They use data science techniques to handle telecom churn analysis, fraud detection, operational efficiency, and more. They also partner with enterprises to scale AI and ensure real business outcomes.
12. NVIDIA
NVIDIA is a global leader in graphics processing and AI computing platforms. Apart from building robust gaming applications, they are also dominating fields like data science, AI research, and high-performance computing (HPC) worldwide. Data scientists depend heavily on NVIDIA’s CUDA platform and GPUs for model training and inference at scale.
They power generative AI models across various industries to leverage smart utilisation and productivity for businesses worldwide. NVIDIA is building scalable frameworks like RAPIDS to simplify the workflow of data science.
13. Cloudera
Cloudera is an organisation providing innovative solutions to companies worldwide. They aim to tackle transformational use cases with advanced technologies, including real-time insights generated from increasing amounts of data. Its EnterpriseAI and Data Lakehouse platforms enable organizations to bind together structured and unstructured data for advanced analytics.
They provide hybrid cloud solutions to support large-scale data science projects and also use Enterprise AI for data lakehouse management and ML.
14. Airbnb
Airbnb is a global travel marketplace that highly leverages data science to optimise search, pricing, fraud detection, and personalised recommendations for clients and businesses worldwide. Airbnb, being one of the best data science companies, uses ML-based search recommendations and dynamic pricing to offer the best value to its users.
It uses data science to address issues like fraud detection, guest screening, and trust-building. They also leverage a large amount of data regularly to improve their customer experience and services.
15. Genpact
Genpact is a global professional services firm that leverages digital transformation and data science in business operations. Genpact is now a major contributor to data science in industries like banking, healthcare, insurance, and manufacturing. They strongly focus on employee learning and upskilling programmes.
They have AI-driven platforms for various services, along with the Cora AI platform for automation-based tasks. They help enterprises in making data-driven decisions.
16. Ford
Ford is a popular name and one of the largest automobile companies, extending its impact as a data-driven mobility company and investing their efforts in automation driving, connected cars, and smart manufacturing.
Ford is using artificial intelligence to build connected cars, self-driving cars, driver assist systems, and more. It is one of the most important data science companies hiring skilled data science professionals in the coming years.
17. Meta
Meta also actively hires data science professionals for its various innovations and scaling with AI and machine learning. Meta uses data science for the following cases.
- Social media engagement
- Advertisement
- AR/VR technologies
They also leverage machine learning for content recommendation, social engagement, and ads. Also, they use AI for image recognition, moderation, and more. They are actively investing in generative AI analytics, which is good news for data science professionals.
18. Netflix
Netflix is a popular streaming platform with very advanced recommendation systems. It is also using AI for personalised recommendations based on users’ interests. They are also optimising their streaming quality with productive network analysis and more.
Netflix is an important recruiter in data science as it constantly filters skilled candidates for advanced data science, AI, and ML based roles.
19. Tesla
Tesla is a popular automotive company that is known for its smart automation systems in driving. They provide features like self-driving, a dojo supercomputer very much similar to Jarvis we used to watch in Iron Man, IoT data analytics, and AI labs for better optimization and research.
They are always on the hunt for skilled candidates in advanced fields like data science, data analytics, and artificial intelligence.
20. Salesforce
Salesforce is a popular cloud-based platform. This Customer Relationship Management (CRM) platform uses data science to drive success in decision making, predictive analytics, advanced insights, and more.
They use CRM analytics to understand customer behaviour along with cloud cloud-first platform using strong AI features. If you are looking for a career in data science, Salesforce can be one of the best options to choose from.
21. Oracle
Oracle is also among the best data science companies leveraging cloud-based platforms, AI, and Machine learning to provide smarter solutions to enterprises. It implements an autonomous database with ML algorithms, prioritises cloud-based infrastructure, and much more.
If you are looking for a career in data science, Oracle is among the best data science companies focusing on building smart data analytics, insights analysis, and decision-making.
How to Leverage AI/ML In Data Science Roles?
You must be familiar with companies no longer wanting just traditional data analyst or data science skills. They are looking for data scientists who can build, train, and deploy AI/ML models. They are also looking for candidates who know machine learning, Artificial Intelligence, Python, and statistics. Check some major steps you can take to make yourself eligible for data science roles in 2025.
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Get industry led professional sessions with a course based on the latest industry curriculum.
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Build your job portfolio with AI-based skills in highlights.
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Get career assistance with guidance from our dedicated mentors.
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Build connections with like-minded learners to exchange your ideas and experiences
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Work on real-world capstone projects with assignments and projects within this course.
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Get industry industry-recognized certification after completing this course.
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Keep updating your skills and knowledge in Generative AI, Graph Machine Learning, Reinforcement learning, Responsible AI, and more.
Also Read:
- Best Data Science Certifications 2025: Chart Your Data Path
- IBM Data Science Professional Certificate
- Top 10 Artificial Intelligence Companies in India
- Research Scientist Salary in India: 2025 Effective Career Insight
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- Get industry led professional sessions with a course based on the latest industry curriculum.
- Build your job portfolio with AI-based skills in highlights.
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- Work on real-world capstone projects with assignments, and projects within this course.
- Get industry industry-recognized certification after completing this course.
Data Science Companies FAQs
Q1. Are data scientists still in demand in 2025?
Ans: The demand for skilled data scientists in 2025 is increasing on a regular basis due to the heavy reliance on data-based insights and applications.
Q2. Which are the best data scientist companies in 2025?
Ans: Google, Amazon, JP Morgan, Microsoft, Airbnb, NVIDIA, Accenture, and more companies are increasing their presence with advanced technologies like data science, artificial intelligence, and machine learning.
Q3. Will AI replace data scientists?
Ans: AI is not going to replace data scientists, but the methods might change, which includes automation with AI, leading to a large-scale transformation in data science roles. Hence, it is important to stay updated with the latest tech in data science.
Q4. Does Microsoft hire data scientists?
Ans: Yes, Microsoft hires skilled data scientists for various roles in Office 365, Azure, Xbox, and more.
